238 KANKANHALLI, TAN, AND WEIABSTRACT: Increasing globalization and advances in communication technology havefuelled the emergence of global virtual teams (GVTs). There is much potential forconflict in GVTs as members work across cultural, geographical, and time bound-aries. This study examines the antecedents of GVT conflict and the circumstancesunder which conflict affects team performance. An in-depth study of GVT conflictepisodes was carried out using interviews, observations, communication logs, anddocuments. Based on findings from the teams under study interpreted in the light ofprior literature, propositions are developed about the antecedents and effects of GVTconflict as stated. Within GVTs, cultural diversity is likely to contribute to both taskand relationship conflict while functional diversity may result in task conflict. Largevolumes of electronic communication and lack of immediacy of feedback in asyn-chronous media can contribute to task conflict. Moreover, the relationship betweentask conflict and team performance is likely to be contingent upon task complexityand conflict resolution approach. The influence of relationship conflict on perfor-mance may depend on task interdependence and conflict resolution approach. Theconflict resolution approach may in turn be determined by the nature of conflict attri-bution. These propositions have been synthesized into a model to guide future em-pirical research and GVT practice.KEY WORDS AND PHRASES: communication technology, conflict resolution, con-flict types, diversity, global virtual teams, task characteristics, team conflict, teamperformance.INCREASING GLOBALIZATION AND THE OPPORTUNITIES PRESENTED by improving com-munication technology have led to the emergence of virtual structures in many orga-nizations. Virtual teams refer to geographically or organizationally dispersed peoplewho work together using communication and information technologies to accom-plish organizational tasks . As an extension of the concept of virtual teams, globalvirtual teams (GVTs) refer to globally dispersed members working together undersuch circumstances. Members of GVTs typically come from different continents orcountries, interact via various forms of communication technology, and rarely or neversee each other in person [18, 28]. GVTs offer several potential benefits to organizations. These include access to ex-pertise, round-the-clock service to customers, fast response to global market demands,and saving of travel costs. GVTs can reshape themselves in response to changes inenvironmental conditions . However, team diversity and space–time dispersionin a GVT may pose both opportunities for , as well as challenges to, effectiveteamwork [33, 55]. While team diversity is celebrated for stimulating creativity andallowing a variety of skills to be brought to bear on problems at hand , it may alsoreduce team cohesion and increase conflict . Conflict in GVTs may be exacerbated by communication delays, time zone differ-ences, and lack of face-to-face contact due to space–time dispersion . These fac-tors may hinder development of understanding and relationships among members of
CONFLICT AND PERFORMANCE IN GLOBAL VIRTUAL TEAMS 239a GVT . If poorly managed, conflict can lead to ineffective teamwork  andother negative outcomes [3, 60]. The importance of conflict management in achiev-ing effective virtual team outcomes has been emphasized . Thus, GVTs can ben-efit from a better understanding of factors that trigger conflict as well as the possibleeffect of conflict on team performance. Knowledge of antecedents and effects ofGVT conflict can help design interventions to manage the causes and alleviate thenegative outcomes of conflict. Conflict in GVTs has been gaining research interest in recent years. Conceptualstudies [10, 25] and empirical studies [43, 44], including studies of student teams, have examined some of the antecedents to conflict and the relationship betweenconflict management approach and GVT performance. Particularly, the influence ofcertain technology and team elements on GVT conflict has been investigated .However, the third essential element of GVTs, task characteristics, has not been ex-plored in relation to GVT conflict and its outcomes (although there is evidence of itsinfluence in traditional team conflict ). Therefore, there is a lack of research in-vestigating these essential elements of GVTs in totality, in relation to conflict and itseffect on team performance. Based on the above motivation, this exploratory case study examines the influenceof technology, task, and team characteristics of GVT on conflict and outcomes, throughanalysis of conflict episodes. In-depth analysis of conflict episodes focusing on thekey team, task, and technology elements; conflict processes; and outcomes shouldyield insights beyond prior studies using team-level surveys. Questions addressed inthis study are: How are various forms of team diversity in GVTs linked to conflict?What is the role of technology in relation to conflict in a GVT? How might taskcharacteristics influence conflict processes and outcomes in a GVT? The answers tothese questions are used to build an integrative model of conflict and performance inGVTs, which can guide future empirical research efforts and provide practical sug-gestions on GVT conflict management.Conceptual BackgroundBECAUSE OUR STUDY AIMS TO INVESTIGATE the influence of team, technology, andtask elements on conflict and resultant team performance, we review the relevantprevious literature on these topics as a background for our study. Team performancetypically focuses on task-related outcomes . Task-related outcomes are the char-acteristics of the outcomes such as task quality and effectiveness. Therefore, our as-sessment of performance is in terms of task quality.Conflict TypesConflict is defined as disagreement, both manifest and latent, among team membersand implies incompatible goals or interests . Conflict in teams can be broadlycategorized into two main types—relationship and task . Relationship conflict
240 KANKANHALLI, TAN, AND WEI(also known as affective conflict) has affective components such as tension and fric-tion . It involves personal issues such as mutual dislike, personality clashes, andannoyance among team members. Some studies have reported that relationship con-flict is detrimental to team performance  while others are less conclusive . Task conflict reflects differences in viewpoints pertaining to team tasks. It maycoincide with animated discussion and personal excitement but is usually devoid ofthe intense negative emotions commonly associated with relationship conflict . Itincludes differences about how task accomplishment should proceed and issues ofduty and resource delegation, such as who should do what and how much responsi-bility each person should get. Several studies have reported that moderate levels oftask conflict are beneficial to team performance [30, 60].Conflict Attribution and ResolutionAttribution theory explains how teams resolve misunderstandings and conflict .When conflict arises, team members try to assess the cause of the problem . Suchattributions may be personal or situational in nature, and may be constructive or non-constructive for continued communication. Personal attribution blames the problemon the characteristics or behavior of individuals , whereas situational attributionfaults the situation or context. An attribution is constructive if it facilitates adaptationand nonconstructive otherwise. Previous studies have suggested that situational attri-bution tends to be more constructive for further communication than personal attribu-tion, because it modifies the rules that guide communication rather than allowing theserules to break down . Subsequently, researchers have identified a third type of attri-bution, categorical attribution, as that based on the characteristics of social categoriesinstead of individuals . Categorical attribution may be particularly relevant forGVT, where social category diversity is salient (see the Team Projects section). Attribution can pave the way for conflict resolution . There are three commonconflict resolution approaches: integrative (solving the problem through collabora-tion), distributive (solving the problem through assertion), and avoidance (ignoringthe problem) . The integrative approach identifies and achieves outcomes that aresatisfactory to all team members. The distributive approach yields outcomes that fa-vor some team members but not others. The avoidance approach occurs when teammembers fail to confront the conflict and achieve no outcomes. For traditional teams, the integrative approach appears to be most suitable for re-solving strategic problems, whereas the distributive approach appears to be least suit-able . However, in GVTs comprising students, the integrative and distributiveapproaches appeared to facilitate team performance, whereas the avoidance approachseemed to hinder team performance . While some studies involving traditionalsoftware development teams [3, 60] suggest that conflict resolution approach medi-ates the relationship between conflict and team performance, others  suggest thatconflict resolution approach plays a moderating role in the relationship. The differ-ences in results suggest a need to look deeper into the processes of GVT conflict .
CONFLICT AND PERFORMANCE IN GLOBAL VIRTUAL TEAMS 241Team DiversityIn the past, studies on employee selection and socialization  promoted similarityin values and demographics as the basis for maintaining effective work environments.This has changed subsequently with researchers [23, 75] calling for more team diver-sity to facilitate team performance. However, empirical research on the effects ofteam diversity has produced mixed results. Consequently, more complex conceptuali-zations of team diversity have been proposed. Two important types of team diversity are functional (arising from differences ineducational background, experience, and expertise among team members) and socialcategory (arising from differences in race, culture, gender, and age among team mem-bers) . In traditional teams, functional diversity has been heralded for increasinginnovation, developing clearer strategies, and responding faster to changes . At thesame time, differences in opinions and perspectives engendered by functional diver-sity have been found to increase task conflict [32, 51]. In GVTs comprising students,cognitive conflict among team members with different educational background hasbeen observed . However, it is not clear how such conflict may affect GVT per-formance. An important aspect of social category diversity in GVT is cultural diversity. Intraditional teams, social category diversity has been found to cause relationship con-flict [32, 51]. But the evidence about whether cultural diversity in GVT increases ordecreases conflict has been mixed, with some studies suggesting increases  andother studies being inconclusive . These results highlight the need to examinecultural diversity more deeply . Cultural diversity includes national and linguistic differences among members aswell as differences along broader cultural dimensions . Given that GVT membersbring their disparate cultural values to the team, it is important to know how culturaldimensions may affect conflict and performance in GVT. Five bipolar dimensions ofculture have been identified—power distance, uncertainty avoidance, individualism,masculinity, and long-term orientation . Power distance is the extent to whichpeople expect and accept that power is distributed unequally. Uncertainty avoidancerefers to the degree that people feel threatened by uncertain or unknown situations.Individualism implies belief in the primary importance of the individual as opposedto the group. Masculinity refers to cultures in which social gender roles are distinct.Long-term orientation is the degree to which people’s efforts are focused toward thefuture rather than the present. Of the five dimensions, individualism has been identified as particularly relevant inthe context of studying teams [49, 66]. Prior research indicates that it influences co-operative behavior of individuals in a group and is likely to be the most importantdistinguishing feature of culture . People from an individualistic culture tend tovalue personal time and the freedom to adopt personal approaches to their work. Incontrast, people from a collectivistic culture tend to value team identity and the pres-ence of team standards for carrying out their work . Prior research has indicated
242 KANKANHALLI, TAN, AND WEIthe influence of individualism orientation on conflict management style  but notas an antecedent to conflict.Communication TechnologyGroup support systems literature [42, 62] has contributed to our understanding of theeffect of technology on team conflict. These systems offer some capabilities similarto communication technology available to GVTs, particularly, group support for com-munication (from features such as simultaneous input and public group display), andprocess structuring (from features such as agenda setting, agenda enforcement, andrecord of group interaction) . Providing communication support through group support systems can help teamsto generate more task conflict and resolve the conflict more effectively . Provid-ing process structuring support can reduce both task conflict and relationship conflict. These findings suggest that conflict in computer-assisted teams may increase ordecrease depending on the type of support. Although these studies have helped toelucidate the effects of communication technology on team conflict, they have beenconducted in experimental settings and with artificial tasks. It is not clear whetherthese results would apply to GVTs performing real tasks in field settings . Researchers have discussed the role of technology in creating conflict in virtualteams. Virtual teams that relied more heavily on technology were found to experiencemore task conflict, and the conflict seemed to be more detrimental for such teamsthan traditional teams . Five types of communication problems are found to con-tribute to misunderstandings in virtual teams: failure to communicate contextual in-formation; failure to communicate information evenly; differences in salience ofinformation to individuals; differences in speed of access to information, and inter-pretation of the meaning of silence . The causes of the problems cited were thegeographic dispersion of team members, the information load, and the slow rate andfeedback lag of communication media. Information overload is a consequence oflarge volume of communication, which has increased in the context of electroniccommunication . Immediacy of feedback is the extent the medium enables message recipients to giverapid feedback on the information they receive . The lack of immediacy of feed-back in asynchronous communication can cause problems in development of mutualknowledge in distributed teams . Given the reliance of GVT on information andcommunications technology (ICT), it is important to investigate its effects on conflictin GVT.Task CharacteristicsTwo characteristics of tasks that have been highlighted in the context of traditionalteam conflict and performance are task interdependence and task routineness. Taskinterdependence refers to the extent to which team members need to rely on each
CONFLICT AND PERFORMANCE IN GLOBAL VIRTUAL TEAMS 243other to accomplish their task . Prior studies indicate that the effect of relation-ship conflict on team performance may depend on task interdependence . Thiseffect may be stronger when there is greater task interdependence. In other words,dislike and friction may be more detrimental to team performance when team mem-bers are required to depend more on each other. Task routineness refers to the degree of structuredness and programmability of thetask . Routineness has been inversely related to task complexity, that is, the de-gree of ambiguity in paths toward and solutions to the task . In relation to conflictphenomena, the effect of task conflict on team performance has been found to dependon task routineness . Task conflict may be negatively related to team performancefor routine tasks but positively related to team performance for nonroutine tasks .Scope of This StudyTable 1 summarizes the conflict literature by highlighting the relationships betweenkey concepts for traditional teams and GVTs. Figure 1 indicates the relationshipsbetween key concepts in the context of GVT conflict. From the summary, it is clearthat several conceptual gaps exist in our understanding of conflict in GVTs. First,some important relationships among concepts (e.g., the moderating effects of taskcharacteristics on the relationship between conflict and team performance) have notbeen tested for GVTs. Second, several relationships among concepts that hold fortraditional teams have ambiguous results for GVTs (e.g., the relationship betweencultural diversity and conflict). Third, some relationships among concepts for tradi-tional teams appear to be contradicted for GVTs (e.g., the effect of distributive con-flict resolution approach on team performance). As an effort toward bridging theseconceptual gaps, the goal of this study is to build an integrative model of conflict andperformance in GVTs. Insights from our case study would be interpreted in light ofthe previous literature to generate the propositions for the model.MethodologyWE USED AN EXPLORATORY CASE STUDY as the basis for our research design .Exploratory case studies are ideal for analyzing what is common or different acrosscases that share some key criteria (differences in team, task, and technology charac-teristics for our study). They are appropriate for preliminary studies such as ours inwhich the researcher has little control over the key variables and wants to obtain aricher understanding of the phenomenon.Team BackgroundThe three GVTs examined in this study were made up of master’s-level students fromthree universities (in North America, Europe, and Asia) who participated in a course
244Table 1. Summary of Relevant Conflict LiteratureConcepts Empirical findings involving traditional teams Empirical findings involving GVTTeam diversity and conflict • Functional diversity is positively related to task • Functional diversity is positively related to task conflict [32, 51]. conflict . • Social category diversity (which includes cultural • Cultural diversity is not related to relationship diversity) is positively related to relationship and task conflict . conflict [32, 51]. • Cultural diversity is positively related to conflict .Communication technology • Communication support is positively related to • Reliance on technology is positively related to KANKANHALLI, TAN, AND WEIand conflict task conflict . task conflict . • Process structuring support is negatively related • Reliance on technology is not related to to task conflict and relationship conflict . relationship conflict .Task conflict and team • Task conflict is negatively related to performance • Not tested.performance moderated by for routine tasks .task routineness • Task conflict is positively related to performance for nonroutine tasks .Relationship conflict and • Relationship conflict is negatively related to • Not tested.team performance moderated performance for interdependent tasks .by task interdependenceConflict resolution and team • Integrative approach is positively related to • Integrative approach is positively related toperformance team performance . team performance . • Distributive approach is negatively related to • Distributive approach is positively related to team performance . team performance . • Avoidance approach is negatively related to • Avoidance approach is negatively related to team performance . team performance .
CONFLICT AND PERFORMANCE IN GLOBAL VIRTUAL TEAMS 245Figure 1. Relationships Between Key Concepts in the Context of GVT Conflicton Global Project Coordination. Two GVTs had members from all three universitieswhile the remaining GVT had members from two universities. As an integral part of the course, each student participated as a member of a GVTand each GVT completed a global industry-sponsored project. Relative to prior stud-ies with student GVTs, the three GVTs examined in this study were comparativelymore like organizational GVTs. Team members had at least two years of work expe-rience. The tasks (team projects) were formulated, monitored, and assessed by orga-nizational sponsors. These projects were also longer lasting (around five months)than typical student team projects. Further, projects were assigned to team membersby organizational sponsors and course faculty, who matched the skill profiles of teammembers to project requirements. The teams communicated considerably throughteleconferencing, a medium commonly used in organizational GVTs that has notbeen studied adequately in previous student GVTs. At the end of the course, eachGVT had to present their results to organizational sponsors and course faculty, whothen awarded them a grade based on the quality of work done for their global project. The GVTs met face-to-face once at the beginning and once toward the end of thefive-month course. They attended weekly videoconferencing lectures conducted bycourse faculty from the three universities. Throughout their projects, they communi-cated and collaborated using a variety of communication technology such as telecon-ferencing, e-mail, Web discussion boards, chat, and private community Web spaces.Members of the three GVTs were nationals of 11 countries spanning four continents(North America, Europe, Asia, and Africa). With these differences in cultural back-ground and heavy reliance on communication technology, these teams clearly satis-fied the key characteristics of GVTs. The demographic characteristics of the threeGVTs are shown in Table 2.
246Table 2. Demographic Characteristics of GVTsTeam Size Gender Diversity University Nationality EducationA 11 members 4 female Gender = 0.67 5 North America 1 Canada 7 engineering 7 male Age = 0.32 4 Europe 1 Egypt 2 business KANKANHALLI, TAN, AND WEI 2 Asia 2 India 2 science 1 Singapore 4 Sweden 2 United StatesB 9 members 4 female Gender = 0.71 4 North America 1 China 5 engineering 5 male Age = 0.20 3 Europe 1 Hong Kong 3 business 2 Asia 3 Sweden 1 science 4 United StatesC 7 members 3 female Gender = 0.70 4 North America 1 China 4 engineering 4 male Age = 0.45 3 Asia 2 France 3 business 1 Indonesia 2 Singapore 1 Tunisia
CONFLICT AND PERFORMANCE IN GLOBAL VIRTUAL TEAMS 247Team ProjectsTeam A was assigned a global project sponsored by an international consulting com-pany. The goal of the project was to collect information about risk assessment andmanagement procedures in a variety of industries. The sponsor company providedmembers of Team A with a predesigned risk assessment questionnaire. Members ofTeam A used this questionnaire to gather information from global businesses throughinterviews with top executives. The team manager analyzed the data collected andprepared the final report. Because members of Team A could carry out their inter-views independently of each other, the team task was deemed low in task interdepen-dence. Moreover, because the team did not have to perform the more complex subtasksof the project, such as generating interview questions and preparing the report, theteam task was considered low in task complexity (see Table 3). Team B undertook a global project sponsored by an international telecommunica-tions company. The goal of this project was to understand the global market for mo-bile applications from an Internet service provider (ISP) perspective. Members ofTeam B were first required to generate applications and interview questions. Theythen interviewed top executives from ISPs in three continents to identify significantand emerging mobile applications, the charging mechanisms used, and the underly-ing technology. Subsequently, they needed to analyze the interview data and preparetheir report. Given that members of Team B had to exchange information frequentlyduring all subtasks except contacting and interviewing ISPs, the team task was con-sidered high in task interdependence. Because members of Team B had to performcomplex subtasks such as generating interview questions and applications as well asanalyzing data and preparing the report with minimal assistance from the sponsor andmanager, the team task was deemed high in task complexity (see Table 3). Team C worked on a global project sponsored by an international computer com-pany. The objective of this project was to reengineer the financial analyst organiza-tion within the sponsor company to attain a more effective structure. Members ofTeam C had to prepare their own interview questions, interview finance executives(contacts provided by the sponsor) to elicit ideas on how to improve financial analyststructure, and prepare a report of solutions. Considering that members of Team C hadto exchange information frequently throughout the project except during the inter-views, but the project involved fewer members (with fewer interactions) spread acrossfewer locations than other teams, the team task was deemed moderate in task interde-pendence. Because members of Team C were provided moderate assistance for themore complex subtasks by their sponsor (provided contacts but not interview ques-tions) and manager (help with analysis but not with report writing), the team task wasconsidered moderate in task complexity (see Table 3).Technology UseAll three GVTs had the option to use e-mail, teleconferencing, Web discussion boards,and various Internet-based groupware technologies such as ICQ chat and e-circle.
248Table 3. Task Descriptions for GVTs Team A Team B Team CTask details 1. Identify companies in 1. Generate applications via 1. Generate interview suggested industries to brainstorming. questions. interview. 2. Generate and refine 2. Interview people in 2. Contact executives from each interview questions. sponsor company. company. 3. Identify Internet service 3. Assess existing financial 3. Interview executives and providers to interview. analyst organization. administer risk assessment 4. Contact executives from 4. Suggest ideas to improve KANKANHALLI, TAN, AND WEI survey. each Internet service financial analyst (all subtasks require minimal provider. organization. interdependence) 5. Interview executives. 5. Consolidate data and 6. Consolidate data and analyze results. analyze results. 6. Prepare report. 7. Prepare report. (all subtasks except 2 (all subtasks except 4 and 5 require interdependence) require interdependence)Assistance from sponsor • Provide some interview • Minimal. • Provide all interview contacts. contacts. • Provide all interview questions. • Provide no interview questions.Assistance from manager • Team manager aggregates • Minimal. • Aggregate data with qualitative data and prepares report. analysis.Task characteristics • Low interdependence. • High interdependence. • Moderate interdependence. • Low complexity. • High complexity. • Moderate complexity. (full assistance from manager (minimal assistance from (moderate assistance from and sponsor for complex manager and sponsor for manager and sponsor for subtasks) complex subtasks) complex subtasks)
CONFLICT AND PERFORMANCE IN GLOBAL VIRTUAL TEAMS 249The Web discussion board was a bulletin board linked to the course Web site whereGVT members could post text messages. The messages could be viewed by anyonebecause there was no password protection on the course Web site. Messages for eachteam were structured into topics using discussion threads. E-circle is a private (pass-word protected) community Web space that allowed GVTs to share document files,hold discussions, plan team events, and maintain team calendars and task lists. Team A relied mainly on e-mail for communication and e-circle for sharing docu-ment files. They occasionally used the Web discussion board. Team B relied less on e-mail for communication. They mainly used the Web discussion board to sharedocument files and regularly posted the minutes and agenda of their conference callsthere. They did not use e-circle or online chat. Team C relied heavily on e-mail forcommunication. They supplemented conference calls with chat sessions. They usedthe Web discussion board moderately. They rarely used e-circle to share documentfiles. All three GVTs made moderate use of conference calls (see Table 4). The three GVTs in this study differed in terms of team diversity (see Table 2), taskcharacteristics (see Table 3), and communication technology used (see Table 4). Thesefactors are important elements that could potentially affect conflict and team perfor-mance (see Table 1).Data CollectionThe data collection protocol (see Table 5) was developed based on guidelines sug-gested by qualitative research literature . This protocol provided a frameworkfor carrying out within-GVT and across-GVT analysis. Having a detailed case studyprotocol for data collection and data analysis helped to increase reliability of re-sults . Data were collected over eight months. Throughout the five-month duration of thecourse, data were collected via observations of face-to-face meetings and conferencecalls, communication logs, and project documentation. Communication among mem-bers of the GVTs via all communication technology, such as e-mails, e-circle logs,chat sessions, and Web board discussion messages, was captured. Face-to-face meet-ings and conference calls were recorded. All available project documentation wasarchived. After the course, data were collected over a three-month period via inter-views with members of the GVTs and course faculty and questionnaires completedby members of the GVTs (see the Appendix for interview outline and questionnaireitems).Measures and Data AnalysisGender diversity was measured using Blau’s index of heterogeneity . This indexhas been used to measure diversity in categorical variables in previous studies such asPelled et al. . The value of the index can vary from zero (indicating all teammembers are the same on the attribute) to one (indicating all team members are differ-ent). Blau’s index was not used for measuring functional, national, and linguistic
250 KANKANHALLI, TAN, AND WEITable 4. Technology Use by GVT Team A Team B Team CE-mails per student 437/11 = 39.7 248/9 = 27.6 374/7 = 53.4Web discussion board messages per student 19/11 = 1.7 94/9 = 10.4 54/7 = 7.7Chat sessions 1 0 5E-circle (private community Web space) use High Nil LowTeleconference calls 8 8 6Table 5. Data Collection ProtocolData source DetailsSemistructured interviews • Interviews with team members and course faculty (average length of interview was 60 minutes).Observation of meetings • All face-to-face meetings, presentations, and breaks throughout a four-day period.Observation of conference calls • Team A: 8 meetings (average length was 60 minutes). • Team B: 8 meetings (average length was 45 minutes). • Team C: 6 meetings (average length was 60 minutes).Communication logs • All communication among team members (e-mail, chat sessions, Web discussion board messages, and e-circle logs).Questionnaires • Questionnaires completed by team members (average time to complete questionnaire was 20 minutes).Project documentation • Description of project. • Personal information of team members. • Lessons learned papers by team members. • Grade awarded to team.diversity because, for these forms of diversity, certain categories may be closer spacedthan others (the index assumes equal spacing between all categories of the attribute).For example, for functional diversity, science and engineering backgrounds may becloser to each other than to other backgrounds such as business. Similarly, Canadianand American nationalities may be closer to each other than to other nationalities,such as Singaporean, for national diversity. Linguistic diversity was also difficult tomeasure through this index because several team members had more than one domi-nant language. For these forms of diversity, as well as for cultural diversity along the
CONFLICT AND PERFORMANCE IN GLOBAL VIRTUAL TEAMS 251individualism dimension, the concepts of subgroups and fault lines [19, 36] werefound to be more useful to assess the effect of diversity on conflict and other teamoutcomes. Relatively equal size and differing subgroups lead to stronger fault linesalong which conflict may occur. Age diversity was measured using coefficient ofvariation (standard deviation of ages divided by mean of ages). Task characteristics were evaluated based on project task descriptions (see Table 3).Team-level assessment of degree of task conflict, relationship conflict, and dominanttype of conflict resolution was done using previously validated questionnaire itemsfrom Jehn  and Miranda and Bostrom  (see the Appendix). The responses toquestionnaires were averaged across the team to obtain the levels of conflict param-eters. Team performance was assessed based on the objective grade awarded to theteam. Conflict episodes were identified based on interview responses, lessons learnedpapers, and communication logs. Each conflict episode was analyzed for type, cause,attribution, and resolution. The way in which the different constructs were measuredor coded is summarized in Table 6. Table 7 summarizes the reliability measures of theteam-level questionnaire items for task conflict, relationship conflict, and conflictattribution for the three GVTs. All reliability values are above the acceptable thresh-old of 0.7 . Data analysis was carried out at two levels: detailed analysis of conflict episodesand aggregate (team-level) analysis of conflict parameters. Doing data analysis atboth levels allowed for cross-level triangulation of findings. There were five majorsteps in the data analysis process. First, all data sources for each GVT were preparedand assembled. These activities included transcribing interviews and conference calls,printing communication logs (for all communication technologies), and compilingquestionnaire results and project documentation. Second, the data for each GVT was recorded on a case summary sheet where con-flict episodes could be identified. To construct the overall sequence of events for eachGVT, all the evidence from different data sources was sorted in chronological order.The interview transcripts followed by the lessons learned papers were used as pri-mary sources to identify conflict episodes. This is because members themselves iden-tified conflict episodes, their causes, and resolution in these data sources. Subsequently,communication logs of all media used by the team were also analyzed to determineadditional conflict episodes and corroborate those obtained from the primary sources.All evidence was examined in detail by two independent researchers to identify thesources of conflict, type of conflict, parties involved in the conflict, and how theconflict was attributed and resolved. The perspectives of different team memberswere considered. Apart from conflict episodes, a timeline of key events in each GVTwas created. Third, within-GVT analysis of conflict episodes was carried out for each GVT. Thegoal was to identify the relationships between conflict antecedents, such as team diver-sity and technology characteristics, and conflict type (task conflict or relationship con-flict) as well as the relationships between conflict attribution (personal, situational, orcategorical) and conflict resolution approaches (integrative, distributive, or avoidance).The data for each GVT was also compared with interview transcripts and questionnaire
252 KANKANHALLI, TAN, AND WEITable 6. Construct MeasurementCategory/construct Instrument Derived fromTeam diversity Based on team composition Team member• Age • Coefficient of variation for demographic and age in years educational• Cultural • Fault lines based on: characteristics • Cultural dimension • Individualism • Language • Dominant language(s) • National • Major country(ies)• Functional • Engineering/science versus business• Gender • Blau’s index  for male/femaleTask Coded based on description ofcharacteristics construct Team project• Task complexity •  descriptions• Task interdependence • Conflict type (team level)  Questionnaire• Task conflict answered by all team• Relationship conflict membersConflict resolution  Questionnaire(team level) answered by all team• Integrative members• Distributive• AvoidanceTeam performance• Task outcome Grade Course grade sheet Mentioned in interviews and Interviews, lessons lessons learned papers or learned papers, coded based on description meeting observationConflict episode level of construct from and communication• Conflict type •  logs, project• Cause documentation • Team diversity • Age diversity • Cultural (including •  cultural dimension, language and national) diversity • Functional diversity •  • Gender diversity • Communication •  technology • Volume of communication • Immediacy of feedback• Conflict attribution • Personal •  • Categorical • Situational • • Conflict resolution •  • Integrative • Distributive • Avoidance
CONFLICT AND PERFORMANCE IN GLOBAL VIRTUAL TEAMS 253Table 7. Construct Reliabilities ReliabilityConstruct (Cronbach’s alpha)All teams Task conflict 0.98 Relationship conflict 0.93 Integrative resolution 0.94 Distributive resolution 0.81 Avoidance resolution 0.71Team A Task conflict 0.92 Relationship conflict 0.90 Integrative resolution 0.90 Distributive resolution 0.81 Avoidance resolution 0.73Team B Task conflict 0.95 Relationship conflict 0.89 Integrative resolution 0.83 Distributive resolution 0.77 Avoidance resolution 0.73Team C Task conflict 0.92 Relationship conflict 0.89 Integrative resolution 0.82 Distributive resolution 0.78 Avoidance resolution 0.75responses to assess agreement on the levels of task conflict and relationship conflict,and predominant conflict resolution approach in each GVT. Fourth, across-GVT analysis was carried out by comparing conflict parameters acrossthe three GVTs. The objective was to identify the relationships between levels ofconflict (task and relationship) and team performance, as well as to understand howthese relationships might be moderated by task characteristics (interdependence andcomplexity) and conflict resolution approaches (integrative, distributive, or avoid-ance). The results were presented to members of the three GVTs for their feedback. Finally, all relationships among concepts (identified in the third and fourth steps)were integrated into a tentative theoretical model to guide future empirical researchefforts and offer suggestions for practice. In each step of the data analysis process, thereliance on multiple data sources facilitated triangulation of evidence . More-over, the two independent researchers who coded the data separately achieved anoverall agreement level of 0.88 regarding the assignment of text to codes. The inter-rater reliability (number of coding agreements divided by the number of codings)was greater than the recommended level of 70 percent . Their areas of disagree-ment were resolved through discussion.
254 KANKANHALLI, TAN, AND WEITeam-Level ResultsTeam ATEAM A CONSISTED OF 11 MEMBERS from six different countries with three differenteducational backgrounds, and was characterized by relatively high gender diversityand low age diversity (see Table 2). This team displayed strong cultural fault linesbetween members from North America (the United States and Canada), Europe (Swe-den), and Asia (India and Singapore). The team also exhibited relatively weak func-tional fault lines between engineering and science majors. For illustration, severalconflict episodes from Team A are described below, along with their type, cause,attribution, and resolution. In one conflict episode, team members differed in their assumptions on whethertheir primary responsibility should be toward oneself or toward the team. Membersfrom more collectivistic cultures (Singapore and India) perceived that their team-mates from more individualistic cultures (the United States and Canada) were notcooperative enough. A Singaporean team member wrote, “As it turns out, Asian mem-bers approach the project as a real team effort. But members from North Americawere simply completing their own section and did not do much in helping others.”This incident was considered as an episode of task conflict caused by cultural diver-sity. Because the conflict was blamed on the social category of members, conflictattribution was categorical. Given that members from collectivistic cultures expressedtheir concern about the lack of cooperation of members from individualist cultures,with no corresponding adjustment in behavior from these members, the conflict reso-lution approach was distributive. In another episode, team members disagreed about a peer appraisal scheme sug-gested by their manager. The manager proposed the scheme to let team members rateeach other in order to determine who should participate in the presentation to thesponsor. Members from collectivistic cultures (India and Singapore) were not com-fortable about rating their teammates, while members from individualistic cultures(the United States and Canada) felt that the peer appraisal scheme was appropriate.The opposing subgroups argued about the merits and demerits of the scheme, butneither group changed their position. Eventually, the appraisal scheme was imple-mented. This was considered as an episode of task conflict caused by cultural diver-sity. Conflict attribution was categorical because subgroups blamed the cause on thedifferent categories to which members belonged. Conflict resolution approach wasdistributive because one subgroup prevailed. In yet another episode, there was mutual hostility between collectivistic membersfrom India and Singapore and their individualistic North American teammates. Thecause of conflict was differences in attitudes about separating personal life and pro-fessional life. North American members preferred to keep their professional and per-sonal lives separate, while Asian members felt that there was no problem in overlappingthe two. An Asian member, who knew a North American member professionally,perceived that the relationship could also be personal. He discussed a personal matter
CONFLICT AND PERFORMANCE IN GLOBAL VIRTUAL TEAMS 255with the North American member, who became offended. The conflict escalated tothe point where the manager intervened to make the Asian member apologize. Thiswas considered as an episode of relationship conflict caused by cultural diversity.Because an individual rather than a subgroup was blamed for the conflict, conflictattribution was personal. Given that one party prevailed over the other, the conflictresolution approach was distributive. In Team A, technology characteristics affected task conflict. The large volume ofe-mail communication resulted in information overload among team members. Con-sequently, contributions made by some team members were overlooked. For example,a team member proposed a solution for a particular subtask by e-mail. Though someteammates appreciated this suggestion, it was eventually forgotten. Concurrently,another discussion generated a large number of e-mails. After four days, anothermember sent an e-mail to the team suggesting the same solution, without reference tothe original suggestion. The member who made the original suggestion felt that hisviews were not valued by his teammates, resulting in task conflict. However, he didnot blame any teammate but attributed the problem to information overload. This wasconsidered as an episode of task conflict caused by technology factors. Conflict attri-bution was situational because the problem was blamed on the context. Conflict reso-lution approach was avoidance because the conflict was ignored. Altogether, 11 conflict episodes were identified and analyzed for Team A (see Table8). Questionnaire responses and in-depth analysis suggested that the overall level ofrelationship conflict was high and the level of task conflict was low (see Table 9).Distributive conflict resolution approach was employed most frequently in Team A.Among the three GVTs, Team A obtained a moderate project grade.Team BTeam B consisted of nine members from four different countries with three differentfunctional backgrounds, characterized by relatively higher gender diversity and lowage diversity (see Table 2). Moderate cultural fault lines appeared between membersfrom North America (United States), Europe (Sweden), and Asia (China and HongKong), because there were relatively fewer members from collectivistic cultures thanin Team A. Weak functional fault lines also surfaced between engineering majors andthe lone science major. For illustration, several conflict episodes in Team B are de-scribed below, along with their type, cause, attribution, and resolution. General animosity between team members from different countries resulted in con-flict. One conflict episode occurred when the team met face-to-face to present theirresults to the sponsor company. A member noted, “A Swedish teammate complainedthat he didn’t like the American team members. He said that they did not appreciateSwedish ways. He was quite upset about this but didn’t make this known to the Ameri-can team members.” This incident was considered as an episode of relationship con-flict caused by national diversity. Conflict attribution was categorical because theproblem was blamed on a social category. Conflict resolution approach was avoid-ance because the concerns were not voiced to the offending party.
256 KANKANHALLI, TAN, AND WEITable 8. Summary of Conflict Episodes Number of episodesConflict episodes Team A Team B Team CEpisode type – task conflict 6 4 8 – relationship conflict 5 4 2Total episodes 11 8 10Conflict antecedent • Cultural diversity leading to – task conflict 3 2 3 – relationship conflict 4 4 1 • Functional diversity leading to – task conflict 1 1 3 – relationship conflict 0 0 0 • Age diversity leading to – task conflict 0 0 0 – relationship conflict 0 0 1 • Gender diversity leading to – task conflict 0 0 0 – relationship conflict 1 0 0 • Technology characteristics leading to – task conflict 2 1 2 – relationship conflict 0 0 0Conflict resolution – integrative resolution 2 2 9 – distributive resolution 6 2 1 – avoidance resolution 3 4 0Conflict attribution • Personal attribution followed by – integrative resolution 0 0 0 – distributive resolution 4 0 1 – avoidance resolution 1 1 0 • Categorical attribution followed by – integrative resolution 0 1 2 – distributive resolution 2 2 0 – avoidance resolution 1 3 0 • Situational attribution followed by – integrative resolution 2 1 7 – distributive resolution 0 0 0 – avoidance resolution 1 0 0 Another episode involving relationship conflict occurred when the team met face-to-face for their final presentation. An American team member had an altercationwith a Swedish team member. The American member made negative comments aboutthe Swedes that were reciprocated by the Swedish member. Other team membersfrom both countries joined in to support their respective sides. However, they eventu-ally resolved the conflict amicably by agreeing to focus on their project. This was
CONFLICT AND PERFORMANCE IN GLOBAL VIRTUAL TEAMS 257Table 9. Summary of Conflict ParametersConflict Parameter Team A Team B Team CLevel of task conflict Low Low High (on a scale of 1 to 7) (2.0) (1.8) (5.4)Level of relationship conflict High Moderate Low (on a scale of 1 to 7) (6.0) (3.0) (1.5)Dominant conflict resolution approach Distributive Avoidance IntegrativeLevel of team performance Moderate Low Highconsidered as an episode of relationship conflict caused by national diversity. Con-flict attribution was categorical because different categorical subgroups blamed eachother. Conflict resolution approach was integrative because the conflicting partiesdecided to focus on a common goal that was important to the team. Team B relied less on e-mail for communication than the other GVTs. The teammade maximal use of the Web discussion board to share their document files, andpost minutes and agenda of their conference calls. However, the lack of immediacy offeedback when communicating via the Web discussion board contributed to task con-flict in Team B. A team member posted his message on the Web discussion board butthe message did not appear. He was blamed by his teammates for being slow to re-spond. The member wrote, “As written in my previous e-mail, I did write this mes-sage last Friday. But I just clicked on the post button one time and the message somehowdisappeared. Sorry for this. I hope you can read this one.” This was considered as anepisode of task conflict arising from technology characteristics. Conflict attributionwas situational because the problem was eventually attributed to the technologicalcircumstances. Conflict resolution approach was integrative because the problem wasresolved without any side losing out. Altogether, eight conflict episodes were identified and analyzed for Team B (seeTable 8). Questionnaire responses and in-depth analysis suggested that the overalllevel of relationship conflict was moderate and the level of task conflict was low (seeTable 9). Avoidance conflict resolution approach was used most of the time in TeamB. A team member noted, “There were not many disagreements in our team. Evenwhen there were, people preferred not to face any unpleasant situations. Rather theywished that the problem would eventually go away.” Among the three GVTs, Team Bobtained the lowest project grade.Team CTeam C was made up of seven members from five different countries with two differ-ent functional backgrounds, with relatively high gender and moderate age diversity(see Table 2). Moderate cultural fault lines appeared between members from indi-vidualistic cultures (France) and members from collectivistic cultures (Singapore,Indonesia, and China). Relatively stronger functional fault lines surfaced between
258 KANKANHALLI, TAN, AND WEIengineering majors and business majors. For illustration, several conflict episodes inTeam C are described below, along with their type, cause, attribution, and resolution. Linguistic diversity, an aspect of cultural diversity , led to a conflict episodeinvolving task conflict. A Singaporean student recalled, “For the presentation, theFrench members had a problem with speaking English fluently. So we were doubtfulwhether they would be able to present properly.” Team members who were morefluent in English initially felt apprehensive about allowing their French teammates topresent. However, the French teammates assured the team that they would preparetheir script carefully so that they could present effectively. This incident was consid-ered as an episode of task conflict caused by cultural (linguistic) diversity. Conflictattribution was categorical because the cause was attributed to the category of onesubgroup (the French). Conflict resolution approach was integrative because a solu-tion that satisfied all parties was finally adopted. Another conflict episode involving disagreements between engineering (four mem-bers) and business majors (three members) occurred during the preparation for thefinal presentation to the sponsor company. Both subgroups held very different view-points on some issues. The engineering majors wanted to be very precise and to-the-point in their presentation. They wanted to focus solely on key aspects of the findings.However, the business majors preferred to include the details of all the work they haddone for the project, including interviews and thorough explanation of findings intheir presentation. This was considered as an episode of task conflict caused by func-tional diversity. Conflict attribution was categorical because it was blamed on thefunctional background of the subgroups. Conflict resolution approach was integra-tive because the team eventually consulted the sponsor company and adopted a pre-sentation mode preferred by the sponsor company. This mode incorporated elementsfrom both viewpoints. Team C relied mostly on e-mail for communication, with large volumes of e-mailbeing exchanged throughout the project. Information overload in e-mail communica-tion led to a conflict episode involving task conflict. A member noted, “I remembertwo weeks ago, as soon as I had done the first interview, I asked the whole team toimmediately think about the way we would structure the analysis of all the interviewsand what major trends we could identify. After two e-mail requests, I had received noanswer from anyone. Everyone ignored my message.” This was considered as anepisode of task conflict stimulated by technology characteristics. Conflict attributionwas personal because the team member blamed his teammates for not responding.Conflict resolution approach was distributive given that the team member was ig-nored by his teammates. Altogether, ten conflict episodes were identified and analyzed for Team C (see Table8). Questionnaire responses and in-depth analysis suggested that the level of relation-ship conflict was negligible but the level of task conflict was high (see Table 9).Integrative conflict resolution approach was used most of the time in Team C. A teammember recalled, “We were very comfortable in expressing disagreement or criticiz-ing each other. Even more, some of us were known as ‘solutions-critics.’ This wasdone very openly because we all sought consensus in the interest of the team. We
CONFLICT AND PERFORMANCE IN GLOBAL VIRTUAL TEAMS 259spent time during our weekly meetings to address the concerns of critics and to achieveconsensus for the interests of all.” Another team member summarized the conflictresolution approach, “From the beginning, we really did integrate. Everyone wasaccommodating. We talked through everything. That was really the way we sortedthings out.” Among the three GVTs, Team C obtained the highest project grade.Synthesis of Results Across TeamsRESULTS OBTAINED FROM WITHIN-GVT analysis of conflict episodes generate insightson the antecedents of task conflict and relationship conflict, and the relationshipsbetween conflict attribution and conflict resolution approaches. Results of across-GVT analysis of conflict parameters yield some important clues on how task conflictand relationship conflict may affect team performance, and how this effect may bemoderated by task characteristics and conflict resolution approach.Cultural DiversityCultural (including national and linguistic) diversity was the antecedent of a majorityof conflict episodes (17 of 29) investigated in this study. Because cultural valuesreflect and are conveyed through language during communication, linguistic diver-sity typically entails cultural diversity and vice versa. However, cultural diversityadditionally includes national differences as well as differences along broader cul-tural dimensions . Among these 17 conflict episodes, five were coded as due tolinguistic issues, five were due to national issues, and seven were likely due to broadercultural differences. All three GVTs witnessed conflicts related to use of languages specific to particularsubgroups, which excluded other team members from participating in the discussion.For example, Swedish members would break off into Swedish, Chinese-speakingmembers would communicate in Mandarin, and French-speaking members wouldconverse in French. Whether such use was intentional or not, it reinforced languagedivides among team members. Another language-related problem was due to morefluent usage of English by native speakers. Native English speakers dominated theairtime during conference calls and face-to-face meetings at the expense of other team-mates. Linguistic diversity has been highlighted as an important aspect of culturaldiversity . The literature on global teamwork has underscored the importance oflinguistic diversity in intercultural communication [38, 47]. Language-related prob-lems have been highlighted in prior GVT studies [18, 74]. Conflict episodes analyzedin this study reinforce this link between linguistic diversity and conflict in GVTs. National diversity gave rise to conflict when team members of one nationality hadnegative feelings toward their teammates of other nationalities because of their na-tionality. Team B, which had an almost equal number of members from the UnitedStates and Sweden, witnessed several episodes of such conflict. Team members fromthese two countries made negative comments about each other’s nationalities, often
260 KANKANHALLI, TAN, AND WEIinvolving stereotypes. Such conflict appears to be linked to specific national differ-ences. Ethnocentrism (belief that one’s own nationality is superior), prejudice (unfa-vorable perception of people from other nationalities), and stereotyping (exaggeratedgeneralization of attributes about people from other nationalities) are three traits re-lated to national diversity that hamper communication in GVTs . These traits con-tributed to conflict episodes observed in this study. Conflict episodes likely to be due to differences along broader cultural dimensions(individualism versus collectivism) were also witnessed in all three GVTs.1 Individu-alism–collectivism differences may have caused team members to be divided in theiropinions on whether to place team interests before self , whether to adopt indi-vidual- or group-based appraisal , and whether personal and professional mattersshould overlap. Individualism–collectivism has been found to be a salient and stablecultural dimension . Empirical studies  have successfully used this culturaldimension to predict human behavior. Studies on GVTs have also documented theinfluence of this cultural dimension on team behavior  and conflict . Conflictepisodes noted in this study add to such findings. The effect of cultural (including national and linguistic) diversity on conflict maybe explained by similarity attraction theory  and social identity theory . Simi-larity attraction theory posits that people prefer to interact with like-minded others.Social identity theory suggests that people like to be affiliated with others belongingto their own social category (including culture and nationality). Previous studies [19,36] suggest that nationality and race attributes give rise to naturally occurring teamfault lines along which conflict may emerge. Social category diversity, which includes cultural diversity, has been reported toprovoke hostility among members of traditional teams . Such hostility often sur-faces as relationship conflict. Results of this study extend this finding to GVTs andhighlight the cultural component of social category diversity as being important toGVT relationship conflict. Cultural (including national and linguistic) diversity hasbeen a major cause of relationship conflict (nine of the 11 conflict episodes exam-ined) in all three GVTs. Proposition 1a: Cultural (including national and linguistic) diversity can lead to relationship conflict in GVTs. Research on traditional teams has not examined how cultural diversity may be re-lated to task conflict. However differences in cultural background can lead to differ-ences in workplace attitudes and behavior. For example, individualism–collectivismdifferences have been found to produce differing opinions on teamwork processesand compensation [26, 69]. Results of this study add to the literature by suggestingthat cultural (including national and linguistic) diversity appears to be one of theimportant causes of task conflict (eight of the 18 conflict episodes examined) in allthree GVTs. Proposition 1b: Cultural (including national and linguistic) diversity can lead to task conflict in GVTs.
CONFLICT AND PERFORMANCE IN GLOBAL VIRTUAL TEAMS 261Functional DiversityApart from cultural diversity, functional diversity was another antecedent of conflictepisodes (five of 29) indicated in this study. When people with different functionalbackground work together, they may have dissimilar belief structures (e.g., priorities,assumptions, and understanding) based on their previous training and experience [32,51]. People with a business background typically see opportunities and issues fromdifferent vantage points compared to people with engineering training . In a studyinvolving GVTs, students with different educational backgrounds have been reportedto have different cognitive processes . Based on the results of this study, functional diversity seems to be another cause oftask conflict apart from cultural diversity (five of 18 task conflict episodes exam-ined). In Teams A and B, the predominance of engineering and science majors (com-pared to business majors) might have resulted in less task conflict. Science andengineering background majors are likely to be more proximate in functional as-sumptions as compared to differences with business majors. In Team C, engineeringand business majors each made up about half the team. This might have caused moretask conflict. Proposition 2: Functional diversity can lead to task conflict in GVTs. Given that we did not find instances of functional diversity leading to relationshipconflict in the three GVTs examined, no propositions were formed in this regard.Technology CharacteristicsYet another antecedent of conflict episodes was technology characteristics (five of29). The volume of communication in teams tends to increase with the use of elec-tronic communication . High access, one-to-many media such as e-mail allowlarge volumes of communication on concurrent tasks and this often leads to informa-tion overload. Cognitive flexibility theory  suggests that, because of our limitedmemory and processing capability, the human brain suffers from cognitive overloadwhen there is too much information to digest. When this happens, teams are found toignore some information, thus engaging in biased discussion , or forget aboutsome aspects of mutual knowledge, thus resulting in less shared reality . Based on the results of this study, the large volume of electronic communicationthrough easily accessible media such as e-mail may be a cause of task conflict (two of18 task conflict episodes). In Teams A and C, information overload caused contribu-tions of some team members to be overlooked. When there were too many e-mails tobe processed, members ignored some e-mails of other members. This caused resent-ment in the members whose e-mails had been overlooked. Team B had a lower vol-ume of communication in terms of e-mail (see Table 4). They mainly used the Webdiscussion board, which had a record of past messages for team communication.They did not experience task conflict due to information overload.
262 KANKANHALLI, TAN, AND WEI Proposition 3a: Volume of electronic communication can lead to task conflict in GVTs. For effective communication, people need to not just provide relevant informationbut also receive feedback on their message. The use of asynchronous electronic me-dia such as e-mail tends to delay feedback . This lack of immediacy of feedbackcan bring about conflict when communicating parties ascribe the wrong meanings toinstances of silence from the other end , giving rise to misunderstandings. Lackof immediacy of feedback can be a distinct cause for conflict over and above infor-mation overload. While overload causes ignoring of some communication, lack ofimmediacy of feedback does not allow confirmation of receipt of communication.Both technology characteristics have been identified as causes of lack of mutual un-derstanding in teams . Results of this study suggest that the lack of immediacy of feedback (arising fromasynchronous electronic communication) seems to be a cause of task conflict in addi-tion to other causes such as diversity and information overload (three of 18 task con-flict episodes). In Team A, delays in feedback caused team members to accuse eachother of inadequate contribution to the project. In Team C, such delays caused anxi-ety among team members eager to make progress on their project. In Team B, mes-sages that took some time to appear on the Web discussion board caused team membersto blame each other for not working fast enough. These delays led to task conflict. Proposition 3b: Lack of immediacy of feedback (arising from the use of asyn- chronous electronic media) can lead to task conflict in GVTs. Results of this study agree with the group support systems literature that communi-cation support increases task conflict (see Table 1). However, from our study, it is notclear how electronic communication may affect relationship conflict. Given that suchinstances have not been observed in the three GVTs studied, no propositions havebeen formed.Age and Gender DiversityA few conflict episodes indicated age and gender diversity as possible antecedents(two of 29 conflict episodes). All three GVTs had a fair amount of gender diversity(see Table 2). Team C exhibited more age diversity than the other two GVTs becauseone team member was significantly older than the others. Social identity theory posits that people like to be affiliated with others in the same social category (includ-ing age and gender). Hence, age and gender diversity can potentially create fault linesthat give rise to conflict. Team C witnessed a conflict episode arising from age diversity. The significantlyolder team member had a different work schedule than the younger team members.The younger members were inclined to working late just before project deadlines,whereas the older team member preferred to adjust his schedule such that he wouldnot have to stay up late prior to deadlines. This resulted in scheduling conflict within
CONFLICT AND PERFORMANCE IN GLOBAL VIRTUAL TEAMS 263the team. This incident is consistent with predictions of social identity theory. Team Aexperienced a conflict episode due to gender diversity. A male team member criti-cized his female teammates for inappropriate behavior though he did not blame hismale teammates who behaved likewise. This incident is also consistent with predic-tions of social identity theory. However, there were few such conflict episodes, although all three GVTs had gen-der diversity. This may be due to the fact that employees are increasingly adjusted toa mixed-gender workplace and also due to the presence of more salient intrateamdiversity (cultural diversity) in the teams under study. With the exception of a fewstudies , which have indicated higher levels of conflict in mixed-gender groups,the findings in general indicate no influence of gender diversity on conflict .Similarly for age diversity, the majority of studies have not been able to find signifi-cant effects of such diversity on conflict [35, 51]. Given that there were few conflictepisodes involving age and gender diversity in the three GVTs examined, no proposi-tions have been formed.Conflict Attribution and Conflict Resolution ApproachFor the conflict episodes coded in this study, Team A exhibited more personal attribu-tion (five of 11 conflict episodes), Team B exhibited more categorical attribution (sixof eight conflict episodes), and Team C exhibited more situational attribution (sevenof ten conflict episodes). Overall, the results agree with prior predictions  thatmembers of GVTs are more likely to make personal or categorical attribution (18episodes) rather than situational attribution (11 episodes). This is likely because, giventhe lack of situational information about their remote teammates, people tend to makemore dispositional attribution . According to attribution theory, personal attribution of a conflict blames the prob-lem on the characteristics or behavior of individuals involved . Because personalattribution is likely to worsen relationships and break down the rules of communica-tion , it may be less likely to lead to integrative conflict resolution that requiressolving the problem through collaboration. Personal attribution is therefore likely tolead to distributive resolution, where the strongest party asserts over the others. Situ-ational attribution of a conflict blames the problem on the situation or context . Insuch cases, the parties involved may be more amenable to collaborate to modify thecontext because they do not blame each other and communication can be adaptedaccordingly . Therefore, situational attribution leaves the door open for integrativeconflict resolution. Categorical attribution  faults the problem to social categoriesof the opposing group as opposed to characteristics of individuals. In such situations,the adaptation or response to the problem could be constructive or destructive de-pending on whether people are able to rationalize the categorical attribution or not(i.e., different forms of conflict resolution are possible). In accordance with the discussion above, different conflict attributions seemed tolead to different conflict resolution approaches. In this study, personal attribution wasfollowed by mainly distributive conflict resolution (five of seven conflict episodes)
264 KANKANHALLI, TAN, AND WEIand situational attribution was followed by mainly integrative conflict resolution (10of 11 conflict episodes). Categorical attribution was followed by integrative (three of11 conflict episodes), distributive (four of 11 conflict episodes), or avoidance conflictresolution (four of 11 conflict episodes). Because the finding about categorical attri-bution is essentially a nonfinding, no proposition was formed about this type of attri-bution. Proposition 4a: Situational conflict attribution can lead to integrative conflict resolution in GVTs. Proposition 4b: Personal conflict attribution can lead to distributive conflict reso- lution in GVTs.Conflict Type, Task Characteristics, and Team PerformanceResearch on traditional teams suggests that higher levels of task conflict are associ-ated with better team performance when teams work on nonroutine tasks . Inaccordance with previous research, results of this study reveal that task complexity(which is inversely related to task routineness) may moderate the relationship be-tween task conflict and team performance in GVTs. Task complexity is not likely todirectly affect team performance, but is likely to determine how task conflict willinfluence performance. When task complexity is moderate or high, debate among themembers about the task can help bring out better solutions. However, when task com-plexity is low, the solution is well understood and debate about the task may not bebeneficial. In our study, Team C exhibited a high level of task conflict as well as a high level ofteam performance. Working on a moderate complexity task, team performance seemedto have benefited from the efforts of team members to challenge each other for betterideas and debate with each other about pertinent issues. Although these efforts broughtabout task conflict, the end result was high-quality solutions for the moderate com-plexity task. Team B displayed a low level of task conflict as well as a low level ofteam performance. Although the team was confronted with a high-complexity task,team members failed to thoroughly debate the key issues pertaining to the task. As aresult, the team did not experience much task conflict, nor was the team able to offerhigh-quality solutions for the task. More task conflict could potentially have yieldedbetter solutions for this high-complexity task. In Team A, the low-complexity task didnot require team members to deeply discuss issues pertaining to the task. Hence, thelow level of task conflict did not seem to adversely affect the quality of the solutions.While we have an indication of the nature of the moderation effect, we do not proposethe specific nature of the effect because our findings derive from one set of levels ofmoderating variables in the three teams and not from a larger sample of teams. Thesame holds for the other moderating P5b, P6a, and P6b. Overall, Proposition 5a: Task complexity can moderate the relationship between task con- flict and team performance in GVTs.
CONFLICT AND PERFORMANCE IN GLOBAL VIRTUAL TEAMS 265 The literature on traditional teams suggests that higher levels of relationship con-flict are associated with lower team performance when teams work on interdependenttasks . Results of this study reveal that task interdependence may also moderatethe relationship between relationship conflict and team performance in GVTs. Whiletask interdependence may not affect team performance directly by itself, it is likely toinfluence the relationship between relationship conflict and performance. When taskinterdependence is moderate or high, relationship conflict may not allow team mem-bers to work together to accomplish their task. However, when task interdependenceis low, relationship conflict may not affect performance because members can ignorethe unpleasantness and work independently to accomplish the task. In our study, Team C exhibited a low level of relationship conflict and a high levelof team performance. Working on a moderate interdependence task, team membershad to work cohesively to complete the task well. Indeed, team members collabo-rated very well and often tried to facilitate the efforts of each other. The resultingteam spirit seemed to be critical as the team worked together to generate high-qual-ity solutions for the moderate-interdependence task. Team B displayed a moderatelevel of relationship conflict and a low level of team performance. Although theteam was working on a high-interdependence task, some team members did notintegrate their work well with the rest of the team due to relationship conflict. Con-sequently, the team failed to put together their materials to offer high-quality solu-tions for the task. Less relationship conflict could potentially have resulted in bettersolutions for this high-interdependence task. In Team A, the low-interdependencetask did not require team members to work together closely to attain quality solu-tions for the task. The team showed a high level of relationship conflict arising frommutual hostility among team members, who criticized the attitudes of each other.However, this did not seem to adversely affect the quality of the solutions for thelow-interdependence task. Overall, Proposition 5b: Task interdependence can moderate the relationship between relationship conflict and team performance in GVTs.Conflict Type, Conflict Resolution Approach, andTeam PerformanceThe literature on virtual teams suggests that the interaction style among team membersaffects team performance . Results of this study reinforce this observation by show-ing that conflict resolution approach (which is related to interaction style) moderatesthe relationship between conflict and team performance in GVTs. Conflict resolutionapproach is not likely to influence team performance by itself, but is likely to influenceperformance in conjunction with the type of conflict. Task conflict needs to be re-solved either integratively (through collaboration) or distributively (through assertionsuch as a manager or superior would do) because avoiding or ignoring the conflict isnot likely to lead to beneficial task outcomes. On the other hand, relationship conflictshould be resolved integratively (through collaboration) to avoid harmful effects on
266 KANKANHALLI, TAN, AND WEIperformance. Distributive or avoidance resolution can leave members with low cohe-sion and team efficacy, leading to lower performance. In our study, Team C seemed to have benefited from the use of the integrativeconflict resolution approach to deal with their high level of task conflict. This ap-proach drove the team to continually search for ideas and solutions that were betterthan those suggested. They obtained a high grade. Team B appeared to have sufferedfrom the use of avoidance conflict resolution approach to deal with their moderatelevel of relationship conflict. By not addressing the conflict, team members failed todevelop good team rapport that would have allowed them to work together moreeffectively to complete the task. They obtained a low grade. Team A did not seem tohave benefited from the use of distributive conflict resolution approach. This ap-proach might have helped them to make some progress on resolving task conflict,when team members could not agree on issues related to the task. However, thisapproach also appeared to have added to the hostility in the team and contributed torelationship conflict, when team members engaged in mutual criticisms after somesubgroups won and others lost in disagreements pertaining to personal issues. Theteam obtained a moderate grade. Prior research suggests that the integrative conflict resolution approach tends to bemost effective in facilitating team performance, followed by the distributive approach,and finally the avoidance approach . In this study, the distributive conflict resolu-tion approach had alleviated task conflict in Team B but aggravated relationship con-flict in the same team. Therefore, results of this study add to earlier findings bydemonstrating that the distributive conflict resolution approach may not be less effec-tive than the integrative approach for resolving task conflict in GVTs. Also, the dis-tributive conflict resolution approach may not be more effective than the avoidanceapproach for resolving relationship conflict in GVTs. Overall, Proposition 6a: Conflict resolution approach can moderate the relationship be- tween task conflict and team performance in GVTs. Proposition 6b: Conflict resolution approach can moderate the relationship be- tween relationship conflict and team performance in GVTs. Figure 2 summarizes the propositions developed in this study. This model can beused to guide future empirical research efforts on conflict in GVTs. Besides verifyingthe body of knowledge on traditional teams for applicability in the context of GVTs,this model also highlights some key issues pertaining to conflict in GVTs. First, GVTsrely heavily on communication technology for coordination in the course of complet-ing their task. Communication technology characteristics can induce task conflict inGVTs. Second, GVTs are typically composed of members from a number of differ-ent nationalities. Cultural (including national and linguistic) diversity can lead to bothtask conflict and relationship conflict. Third, GVTs are often formed to deal withcomplex tasks or interdependent tasks. Task complexity and task interdependencecan moderate the effect of task conflict and relationship conflict, respectively, onteam performance.
CONFLICT AND PERFORMANCE IN GLOBAL VIRTUAL TEAMS 267Figure 2. Proposed Model of Conflict and Performance in GVTConclusionTHROUGH AN IN-DEPTH INVESTIGATION OF CONFLICT EPISODES in three GVTs, thisstudy contributes to our understanding of conflict in GVTs in several important ways.First, it confirms that certain aspects of previous theory related to conflict in tradi-tional teams hold for GVTs. For example, the relationship between functional diver-sity and task conflict can be extended from traditional teams to GVTs. Also, themoderating effect of task characteristics on the relationships between conflict andteam performance apply in traditional teams as well as in GVTs. Second, this studyextends other aspects of previous theory to apply to GVTs. For example, cultural(including national and linguistic) diversity has been found to induce conflict in GVTsmuch more than in traditional teams. Also, the relationship between cultural diversityand task conflict has been indicated for GVTs. This is salient given that previousstudies [32, 51] have not considered how social category diversity may be related totask conflict. Third, this study pinpoints the role of communication technology inbringing about conflict in GVTs. It identifies two technology characteristics (largevolume of electronic communication and lack of immediacy of feedback) that lead totask conflict in GVTs. This is significant because GVTs rely on such communicationtechnology to a large extent and therefore should be aware of such consequences.Fourth, this study provides some clues on the relationship between conflict attribu-tion and conflict resolution approaches in GVTs. These initial findings can be veri-fied in future research on conflict in GVTs.
268 KANKANHALLI, TAN, AND WEILimitations and ExtensionsThe main limitation of this study is that the results are obtained based on an in-depthstudy of conflict episodes in three GVTs. While allowing richer analysis to be per-formed, this limits the generalizability of our findings. We see this study as a steptoward facilitating larger-scale studies in organizational contexts (other than the uni-versity and sponsor organization in this study) in which the effect of organizationalfactors on GVT conflict could also be investigated. For instance, the role of leader-ship, organizational culture, and power could also be studied in the context of GVTconflict. Also, GVT conflict phenomena in different domains, such as software de-velopment or customer service, and for different GVT structures, such as networkedor parallel teams, could be explored. Moreover, future studies may extend the model of Figure 2 by further examiningthe effect of communication technology characteristics and functional diversity onrelationship conflict. Finer conceptualization of conflict types (including process con-flict) and conflict resolution approaches (including accommodating and compromis-ing) could be considered. The relationship between conflict type and resolutionapproach could be explored. Other dimensions of culture and their effect on conflictresolution approach could also be investigated. Outcomes besides team performancesuch as satisfaction and the feedback effects of outcomes on antecedents of conflictmay be investigated. The relationships in the model of Figure 2 can be tested forgeneralizability through large-scale surveys.Suggestions for PracticeResults of this study offer several suggestions for managing conflict in GVTs. First,the causes of task conflict and relationship conflict in GVTs can be identified andmade known to team members through training. GVTs can examine their cultural(including national and linguistic) and functional composition to identify potentialfault lines from their inception so that they can more readily evolve mechanisms andnorms to deal with such differences. During the course of their work, better aware-ness of diversity and its implications can lead to better adjustment behaviors on thepart of members. For example, differences in assumptions between members fromindividualistic cultures and members from collectivistic cultures can be highlightedto team members so that they can better appreciate the perspectives of their team-mates. Likewise, differences in thinking between more technical (engineering or sci-ence) background members and members with business background can be openlydiscussed so that members can have a better understanding of mutual perspectives.These measures may help to alleviate conflict in GVTs. Second, managers of GVTs should be aware of the potential conflicts resultingfrom team diversity and the performance effects of conflict. Where possible, culturaldiversity can be minimized through appropriate selection of team members when theteam is likely to work on a high interdependence task. Some global organizationssuch as IBM and Hewlett-Packard have attempted to deal with potentially adverse