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Open Access
Article
Publication date: 23 February 2024

Sarah Mueller-Saegebrecht

Managers must make numerous strategic decisions in order to initiate and implement a business model innovation (BMI). This paper examines how managers perceive the management team…

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Abstract

Purpose

Managers must make numerous strategic decisions in order to initiate and implement a business model innovation (BMI). This paper examines how managers perceive the management team interacts when making BMI decisions. The paper also investigates how group biases and board members’ risk willingness affect this process.

Design/methodology/approach

Empirical data were collected through 26 in-depth interviews with German managing directors from 13 companies in four industries (mobility, manufacturing, healthcare and energy) to explore three research questions: (1) What group effects are prevalent in BMI group decision-making? (2) What are the key characteristics of BMI group decisions? And (3) what are the potential relationships between BMI group decision-making and managers' risk willingness? A thematic analysis based on Gioia's guidelines was conducted to identify themes in the comprehensive dataset.

Findings

First, the results show four typical group biases in BMI group decisions: Groupthink, social influence, hidden profile and group polarization. Findings show that the hidden profile paradigm and groupthink theory are essential in the context of BMI decisions. Second, we developed a BMI decision matrix, including the following key characteristics of BMI group decision-making managerial cohesion, conflict readiness and information- and emotion-based decision behavior. Third, in contrast to previous literature, we found that individual risk aversion can improve the quality of BMI decisions.

Practical implications

This paper provides managers with an opportunity to become aware of group biases that may impede their strategic BMI decisions. Specifically, it points out that managers should consider the key cognitive constraints due to their interactions when making BMI decisions. This work also highlights the importance of risk-averse decision-makers on boards.

Originality/value

This qualitative study contributes to the literature on decision-making by revealing key cognitive group biases in strategic decision-making. This study also enriches the behavioral science research stream of the BMI literature by attributing a critical influence on the quality of BMI decisions to managers' group interactions. In addition, this article provides new perspectives on managers' risk aversion in strategic decision-making.

Details

Management Decision, vol. 62 no. 13
Type: Research Article
ISSN: 0025-1747

Keywords

Article
Publication date: 29 November 2023

Na Zhang, Haiyan Wang and Zaiwu Gong

Grey target decision-making serves as a pivotal analytical tool for addressing dynamic multi-attribute group decision-making amidst uncertain information. However, the setting of…

Abstract

Purpose

Grey target decision-making serves as a pivotal analytical tool for addressing dynamic multi-attribute group decision-making amidst uncertain information. However, the setting of bull's eye is frequently subjective, and each stage is considered independent of the others. Interference effects between each stage can easily influence one another. To address these challenges effectively, this paper employs quantum probability theory to construct quantum-like Bayesian networks, addressing interference effects in dynamic multi-attribute group decision-making.

Design/methodology/approach

Firstly, the bull's eye matrix of the scheme stage is derived based on the principle of group negotiation and maximum satisfaction deviation. Secondly, a nonlinear programming model for stage weight is constructed by using an improved Orness measure constraint to determine the stage weight. Finally, the quantum-like Bayesian network is constructed to explore the interference effect between stages. In this process, the decision of each stage is regarded as a wave function which occurs synchronously, with mutual interference impacting the aggregate result. Finally, the effectiveness and rationality of the model are verified through a public health emergency.

Findings

The research shows that there are interference effects between each stage. Both the dynamic grey target group decision model and the dynamic multi-attribute group decision model based on quantum-like Bayesian network proposed in this paper are scientific and effective. They enhance the flexibility and stability of actual decision-making and provide significant practical value.

Originality/value

To address issues like stage interference effects, subjective bull's eye settings and the absence of participative behavior in decision-making groups, this paper develops a grey target decision model grounded in group negotiation and maximum satisfaction deviation. Furthermore, by integrating the quantum-like Bayesian network model, this paper offers a novel perspective for addressing information fusion and subjective cognitive biases during decision-making.

Details

Grey Systems: Theory and Application, vol. 14 no. 1
Type: Research Article
ISSN: 2043-9377

Keywords

Article
Publication date: 14 November 2022

Yujia Liu, Changyong Liang, Jian Wu, Hemant Jain and Dongxiao Gu

Complex cost structures and multiple conflicting objectives make selecting an appropriate cloud service difficult. The purpose of this study is to propose a novel group consensus…

Abstract

Purpose

Complex cost structures and multiple conflicting objectives make selecting an appropriate cloud service difficult. The purpose of this study is to propose a novel group consensus decision making method for cloud services selection with knowledge deficit by trust functions.

Design/methodology/approach

This article proposes a knowledge deficit-based multi-criteria group decision-making (MCGDM) method for cloud-service selection based on trust functions. Firstly, the concept of trust functions and a ranking method is developed to express the decision-making opinions. Secondly, a novel 3D normalized trust degree (NTD) is defined to measure the consensus levels. Thirdly, a knowledge deficit-based interactive consensus model is proposed for the inconsistent experts to modify their decision opinions. Finally, a real case study has been carried out to illustrate the framework and compare it with other methods.

Findings

The proposed method is practical and effective which is verified by the real case study. Knowledge deficit is an important concept in cloud service selection which is verified by the comparison of the proposed recommended mechanism based on KDD with the conventional recommended mechanism based on average value. A 3D NTD which considers three values (trust, not trust and knowledge deficit) is defined to measure the consensus levels. A knowledge deficit-based interactive consensus model is proposed to help decision-makers reach group consensus. The proposed group consensus model enables the inconsistent decision-makers to accept the revised opinions of those with less knowledge deficit, rather than accepting the recommended opinions averagely.

Originality/value

The proposed a knowledge deficit-based MCGDM cloud service selection method considers group consensus in cloud service selection. The concept of knowledge deficit is considered in modeling the group consensus measuring and reaching method.

Article
Publication date: 19 January 2024

Yaowei Zhang, Tiantian Cao, Siqi Liu and Shuqi Chen

The inconsistent results shown in previous group faultline research have created a need for investigating the underlying mechanisms of the faultline's effects. This study focuses…

Abstract

Purpose

The inconsistent results shown in previous group faultline research have created a need for investigating the underlying mechanisms of the faultline's effects. This study focuses on clarifying the competing mediating roles of information diversity and team conflict in the nonlinear relationship between board faultlines (BF) and decision quality.

Design/methodology/approach

This study is empirically tested with the questionnaire data from 105 Chinese listed companies.

Findings

This study finds: (1) an inverted U-shaped curve relationship between BF and board decision quality and (2) that the joint mediating effect of team conflict and information diversity leads to the inverted U-shaped curve relationship between BF and decision quality. Specifically, BF shows a U-shaped curve relationship with team conflict and an inverted U-shaped curve relationship with information diversity. Either too weak or too strong faultlines will inhibit the positive effects of information diversity and amplify the negative effects of team conflicts, leading to low-quality decisions.

Originality/value

This study contributes to the research on: (1) board governance as it clarifies the effect of BF on the board decision-making process and its quality, which helps to open the black box of board decision-making and (2) group faultlines as it reveals how information diversity and team conflict can play a joint mediating role in the functioning of team faultlines.

Details

American Journal of Business, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1935-5181

Keywords

Article
Publication date: 25 January 2024

Mohammad Mehrabioun Mohammadi

This research aims to examine the challenges of recruiting participatory action research (PAR) in managing innovation projects. An enhanced methodology based on PAR was developed…

Abstract

Purpose

This research aims to examine the challenges of recruiting participatory action research (PAR) in managing innovation projects. An enhanced methodology based on PAR was developed to mitigate the challenges related to recruiting PAR in managing innovation projects. The proposed methodology was evaluated by comparing it to established methodologies/frameworks such as Scrum, Design Thinking (DT) and The Lean Startup (TLS). The evaluation aimed to determine the advantages and limitations of the proposed methodology in managing innovation projects.

Design/methodology/approach

The proposed enhanced methodology consists of eight steps, ranging from developing an understanding of the industry and business structure to learning and knowledge management. In addition, the enhanced methodology uses other techniques, such as Force field analysis and 12 boundary questions.

Findings

The research findings indicate that using the proposed methodology can improve the formalization of collaboration in PAR, enabling the organization to respond better to market changes. It helps define the project scope more clearly, encouraging innovation, addressing communication barriers and considering different worldviews and practical issues. Based on the findings, the proposed enhanced methodology could complement other methodologies/frameworks such as Scrum, DT and TLS.

Research limitations/implications

The current research adds to the existing literature by identifying the challenges of recruiting PAR in managing innovation projects. A deductive reasoning process was utilized because there is no comprehensive research concerning the challenges of recruiting PAR in managing innovation projects. On the other hand, the PAR 4-phase cycle has been reviewed and enhanced to manage innovation projects.

Practical implications

The proposed methodology was used in a new product development project. The case study was done on one of the payment service provider companies that design, develop and deploy a digital product for marketing, installation, repair and maintenance of electronic funds transfer at point of sale devices.

Originality/value

No research has yet sought to identify the challenges of using PAR in innovation project management (IPM). Identifying the challenges associated with applying PAR in the IPM and providing an enhanced methodology to mitigate the challenges could fill a gap in IPM studies.

Details

International Journal of Managing Projects in Business, vol. 17 no. 1
Type: Research Article
ISSN: 1753-8378

Keywords

Article
Publication date: 17 June 2022

Martin Hemmert, Cecile K. Cho and Ji Young Lee

Building on upper echelons theory, the authors advance the literature on the influence of diversity on innovation by studying the link between top management team (TMT) gender…

Abstract

Purpose

Building on upper echelons theory, the authors advance the literature on the influence of diversity on innovation by studying the link between top management team (TMT) gender diversity and innovation performance and the link's boundary conditions.

Design/methodology/approach

The authors analyze survey data from 390 manufacturing establishments in Germany and India through an ordinary least square (OLS) regression analysis.

Findings

TMT gender diversity is positively related to innovation performance. The influence of gender diversity on innovation performance is not strengthened by team level attributes, including cognitive proficiency and openness to external information. In contrast, TMT gender diversity enhances innovation performance more strongly in Germany than in India, indicating the relevance of country-level cultural norms for leveraging gender diversity.

Research limitations/implications

The authors' study is built on data from two countries only, based on TMTs in the manufacturing sector and cross-sectional. Future studies may address these limitations by considering more countries, examining TMTs in the service sector and applying experimental or longitudinal research designs.

Practical implications

Executives should establish gender diverse TMTs to enhance innovation performance and leverage diverse views of male and female managers effectively. Managers located in countries with strongly hierarchical cultural norms should promote egalitarian values at the organizational level to increase the effectiveness of gender diverse TMTs.

Originality/value

This is the first study which examines the moderating effect of country-level cultural norms on the relationship between TMT gender diversity and innovation performance.

Details

European Journal of Innovation Management, vol. 27 no. 1
Type: Research Article
ISSN: 1460-1060

Keywords

Article
Publication date: 5 September 2023

Mengting Su and Parisa Rungruang

This study aims to understand workplace conflict outcomes (WCO) literature and identify the research gaps by mapping its knowledge base and theoretical evolution.

Abstract

Purpose

This study aims to understand workplace conflict outcomes (WCO) literature and identify the research gaps by mapping its knowledge base and theoretical evolution.

Design/methodology/approach

This study combines bibliometric and qualitative analysis and encompasses 1,043 Scopus-indexed documents published between 1972 and 2022. The bibliometric analysis used VOSviewer, Excel and Tableau software for descriptive statistics, citation and co-citation analyses of publication patterns, authors, documents and journals. The qualitative analysis critiqued main theoretical perspectives and topical interests.

Findings

This study revealed a significant increase in literature after 2000, with authors representing 70 societies, primarily the USA, China, Australia, Canada and the Netherlands. Influential authors and their canonical articles were identified, including Jehn, De Dreu, Spector, Amason and Pelled. Highly cited articles focused on task, relationship, role and process conflict. Four main theoretical schools were categorized: conflict type paradigm, individual differences, conflict cooccurrence and conflict dynamics. Influential journals spanned psychology, management, negotiation and decision-making and business and marketing fields, including JAP, AMJ, ASQ, JM, JOB, AMR, IJCMA and OS.

Research limitations/implications

This study provides implications for future bibliometric analyses, theoretical and empirical studies, practitioners and society based on its quantitative and qualitative findings.

Originality/value

To the best of the authors’ knowledge, this study represents the first bibliometric review of WCO literature, serving as a baseline for tracking the field’s evolution and theoretical advancements.

Article
Publication date: 10 November 2023

Mikhail Gorshunov

The purpose of this research is to examine the impact of audit committee financial experts on the risk of financial corruption in public companies.

Abstract

Purpose

The purpose of this research is to examine the impact of audit committee financial experts on the risk of financial corruption in public companies.

Design/methodology/approach

A time-lagged, matched-pairs sample of 352 corporations was utilized to test the study's hypotheses (176 financially corrupt firms plus 176 compliant firms). To uncover financially corrupt firms, 2,895 Accounting and Auditing Enforcement Releases from the Securities and Exchange Commission were thoroughly evaluated.

Findings

The results show that financial experts on audit committees generally increased financial corruption. However, the impact was reversed when audit committees had three or more financial experts, showing that having at least three financial experts reduced financial corruption.

Originality/value

The study's findings call into question the long-held practice of appointing at least one financial expert to audit committees. This study offers a novel approach to improve corporate oversight and reduce financial corruption by having at least three financial experts on audit committees.

Details

Managerial Finance, vol. 50 no. 4
Type: Research Article
ISSN: 0307-4358

Keywords

Open Access
Article
Publication date: 26 January 2024

Alana Vandebeek, Wim Voordeckers, Jolien Huybrechts and Frank Lambrechts

The purpose of this study is to examine how informational faultlines on a board affect the management of knowledge owned by directors and the consequences on organizational…

Abstract

Purpose

The purpose of this study is to examine how informational faultlines on a board affect the management of knowledge owned by directors and the consequences on organizational performance. In this study, informational faultlines are defined as hypothetical lines that divide a group into relatively homogeneous subgroups based on the alignment of several informational attributes among board members.

Design/methodology/approach

The study uses unique hand-collected panel data covering 7,247 board members at 106 publicly traded firms to provide strong support for the hypothesized U-shaped relationship. The authors use a fixed effects approach and a system generalized method of moments approach to test the hypothesis.

Findings

The study finds that the relationship between informational faultlines on a board and organizational performance is U shaped, with the least optimal organizational performance experienced when boards have moderate informational faultlines. More specifically, informational faultlines within boards are negatively related to organizational performance across the weak-to-moderate range of informational faultlines and positively related to organizational performance across the moderate-to-strong range.

Research limitations/implications

By explaining the mechanisms through which informational faultlines are related to organizational performance, the authors contribute to the literature in a number of ways. By conceptualizing how the management of knowledge plays an important role in the particular setting of corporate boards, the authors add not only to literature on knowledge management but also to the faultline and corporate governance literature.

Originality/value

This study offers a rationale for prior mixed findings by providing an alternative theoretical basis to explain the effect of informational faultlines within boards on organizational performance. To advance the field, the authors build on the concept of knowledge demonstrability to illuminate how informational faultlines affect the management of knowledge within boards, which will translate to organizational performance.

Details

Journal of Knowledge Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1367-3270

Keywords

Article
Publication date: 27 July 2023

Shu Schiller, Fiona Fui-Hoon Nah, Andy Luse and Keng Siau

The gender composition of teams remains an important yet complex element in unlocking the success of collaboration and performance in the metaverse. In this study, the authors…

Abstract

Purpose

The gender composition of teams remains an important yet complex element in unlocking the success of collaboration and performance in the metaverse. In this study, the authors examined the collaborations of same- and mixed-gender dyads to investigate how gender composition influences perceptions of the dyadic collaboration process and outcomes at both the individual and team levels in the metaverse.

Design/methodology/approach

Drawing on expectation states theory and social role theory, the authors hypothesized differences between dyads of different gender compositions. A blocked design was utilized where 432 subjects were randomly assigned to teams of different gender compositions: 101 male dyads, 59 female dyads and 56 mixed-gender dyads. Survey responses were collected after the experiment.

Findings

Multilevel multigroup analyses reveal that at the team level, male dyads took on the we-impress manifestation to increase satisfaction with the team solution. In contrast, female and mixed-gender dyads adopted the we-work-hard-on-task philosophy to increase satisfaction with the team solution. At the individual level, impression management is the key factor associated with trust in same-gender dyads but not in mixed-gender dyads.

Originality/value

As one of the pioneering works on gender effects in the metaverse, our findings shed light on two fronts in virtual dyadic collaborations. First, the authors offer a theoretically grounded and gendered perspective by investigating male, female and mixed-gender dyads in the metaverse. Second, the study advances team-based theory and deepens the understanding of gender effects at both the individual and team levels (multilevel) in a virtual collaboration environment.

Details

Internet Research, vol. 34 no. 1
Type: Research Article
ISSN: 1066-2243

Keywords

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