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The purpose of this study is to empirically investigate the role of dynamic capabilities, specifically the sequence of sensing, seizing, and transforming capabilities, in highly uncertain, emerging technology environments. Focusing on the extended reality industry, the study aims to understand the antecedents to these dynamic capabilities, their sequential nature, and their subsequent impact on innovation and company performance.

Based on a survey of 130 German companies in the extended reality sector, we built a structural equation model that explores the relationship between dynamic capabilities, their antecedents, and their effect on innovation and company performance.

The analysis suggests that sensing capabilities positively influence seizing and transforming capabilities, while seizing directly contributes to transforming. Transforming capabilities are linked to improved innovation performance, which in turn boosts company performance. Organizational ambidexterity, market orientation, and technology orientation are found to be crucial antecedents, accounting for 33.1% of the variance in sensing capabilities.

This research illuminates the interdependence of dynamic capabilities in highly uncertain business environments, such as emerging technology markets. It contributes original insights by elucidating the sequential nature of dynamic capabilities and identifying their vital antecedents. It also enlarges the understanding of how dynamic capabilities impact firms’ innovation performance.

This paper aims to discuss recent criticism related to partial least squares structural equation modeling (PLS-SEM).

Using a combination of literature reviews, empirical examples, and simulation evidence, this research demonstrates that critical accounts of PLS-SEM paint an overly negative picture of PLS-SEM’s capabilities.

Criticisms of PLS-SEM often generalize from boundary conditions with little practical relevance to the method’s general performance, and disregard the metrics and analyses (e.g., Type I error assessment) that are important when assessing the method’s efficacy.

We believe the alleged “fallacies” and “untold facts” have already been addressed in prior research and that the discussion should shift toward constructive avenues by exploring future research areas that are relevant to PLS-SEM applications.

All statistical methods, including PLS-SEM, have strengths and weaknesses. Researchers need to consider established guidelines and recent advancements when using the method, especially given the fast pace of developments in the field.

This research addresses criticisms of PLS-SEM and offers researchers, reviewers, and journal editors a more constructive view of its capabilities.

The purpose of this paper is to assess the appropriateness of equal weights estimation (sumscores) and the application of the composite equivalence index (CEI) vis-à-vis differentiated indicator weights produced by partial least squares structural equation modeling (PLS-SEM).

The authors rely on prior literature as well as empirical illustrations and a simulation study to assess the efficacy of equal weights estimation and the CEI.

The results show that the CEI lacks discriminatory power, and its use can lead to major differences in structural model estimates, conceals measurement model issues and almost always leads to inferior out-of-sample predictive accuracy compared to differentiated weights produced by PLS-SEM.

In light of its manifold conceptual and empirical limitations, the authors advise against the use of the CEI. Its adoption and the routine use of equal weights estimation could adversely affect the validity of measurement and structural model results and understate structural model predictive accuracy. Although this study shows that the CEI is an unsuitable metric to decide between equal weights and differentiated weights, it does not propose another means for such a comparison.

The results suggest that researchers and practitioners should prefer differentiated indicator weights such as those produced by PLS-SEM over equal weights.

To the best of the authors’ knowledge, this study is the first to provide a comprehensive assessment of the CEI’s usefulness. The results provide guidance for researchers considering using equal indicator weights instead of PLS-SEM-based weighted indicators.

Expectations regarding the participation of management accountants (MAs) in the promotion of sustainability of multinational enterprises (MNEs) have been poorly realised. This raises the question of whether MAs are invited to join in sustainability promotion or does sustainability not fit the perceived professional role of MAs. We suggest that the development of individual-level engagement of corporate sustainability is required for MAs to start contributing to corporate sustainability.

We utilise the psychological ownership theory to investigate how MAs’ professional role could develop to incorporate advancing sustainability. Our qualitative study is based on 32 interviews conducted in seven local business units of three different technology-oriented MNEs.

We reveal features connected to the professional role of MAs that may impede the activation of the routes to psychological ownership of corporate sustainability, thus undermining their involvement in corporate sustainability enhancement. Moreover, we show that MAs’ own perceptions of their professional role may impede the stimulation of the routes.

From a managerial viewpoint, our study helps readers to understand how the routes to psychological ownership of corporate sustainability could be cultivated in the development of the future role of MAs. It also gives input for MA professional organisations and MA professional education providers to develop conditions that foster sustainability thinking among MAs. Moreover, by integrating the examination of MAs’ professional role with the psychological ownership theory, we broaden the theoretical scene both in management accounting and in business sustainability research.

The study explores the extent to which business analytics can address business problems using the task-technology fit theory.

The qualitative research approach of pattern matching was adopted for data analysis and 12 semi-structured interviews were conducted. Four propositions derived from the literature on task-technology fit are compared to emerging core themes from the empirical data.

The study establishes the relationships between various forms of fit, arguing that the iterative application of business analytics improves problem understanding and solutions, and contends that both under-fit and over-fit can be acceptable due to the increasing costs of achieving ideal fit and potential unaffected outcomes, respectively. The study demonstrates that managers should appreciate that there may be a distinction between those who create business analytics solutions and those who apply business analytics solutions to solve problems.

Extant studies on business analytics have not focused on how the match between business analytics and tasks affects the level to which problems can be addressed that determines business value. This study enriches the literature on business analytics by linking business analytics and business value through problem resolution demonstrated by task-technology fit. To the authors’ knowledge, this study might be the first to apply pattern matching to study the fit between technology and tasks.

As sustainable performance has a central role in the small and medium enterprises (SMEs) performance literature, this study aims to examine the influence of networking capabilities in enhancing sustainable performance through knowledge workers’ productivity and digital innovation. It also examines the sequential mediating role of knowledge workers’ productivity and digital innovation on networking capabilities and SMEs’ sustainable performance relationship.

Data were collected from 308 knowledge workers in the information technology sector and analyzed using the Hayes Process Macro bootstrapping method to test the proposed hypotheses.

Results indicate that knowledge workers’ productivity and digital innovation individually and sequentially mediate the relationship between networking capabilities and SME’s sustainable (economic and environmental) performance, surprisingly, they do not act as a mediator between networking capability and SME’s social performance. SMEs should prioritize investments in the professional development of their knowledge workers through training and skill enhancement programs. This investment equips knowledge workers with the tools to effectively use the knowledge and resources acquired through networking. Thus, knowledge workers may improve performance by using these resources to tackle challenges.

Although this research focused on this specific context, it is prudent to acknowledge that additional factors may also exert influence on sustainable performance within SMEs, factors that managers may consider when making decisions. Methodologically, the cross-sectional design of this research poses a potential limitation, as it does not allow for the complete elimination of endogeneity concerns. However, it is worth noting that scholars have endorsed the use of cross-sectional data in cases where management researchers aim to expand beyond well-documented and longitudinal data sets.

This research offers practical recommendations for SMEs to improve their sustainable performance through networking. SMEs should seek partnerships with complementary knowledge to improve operations and for other performance-oriented benefits.

This study adds significantly to the literature on sustainable SME performance by studying the interdependent effects of networking capabilities. It also represents the individual and sequential mediation mechanism that links networking capabilities to SME success through knowledge worker productivity and digital innovation.

This study aims to examine the impact of coworking spaces (CWS) on the wellbeing and entrepreneurial satisfaction of remotely working micro-entrepreneurs, highlighting the role of these spaces beyond conventional work locations. It specifically investigates how CWS foster a supportive ecosystem for micro-entrepreneurs, supporting their professional journey.

Employing a mixed-methodological approach, this study uses nearest-neighbor matching and multiple regressions based on quantitative surveys from a representative sample of micro-entrepreneurs, including those working from CWS, and a qualitative focus group with frequent CWS users. This comprehensive approach allows for a nuanced exploration of the impacts of CWS on micro-entrepreneurs' wellbeing and satisfaction.

The study finds that micro-entrepreneurs experience significant benefits from utilizing CWS, most notably in terms of wellbeing and work–life balance. These spaces provide valuable support through community building, networking opportunities and structured work environments. The benefits of CWS are particularly pronounced for women and micro-entrepreneurs with young children, aiding in boundary management and mitigating the challenges of social isolation.

We provide clear implications for remotely working micro-entrepreneurs, especially women with young children at home, on why to use CWS as their primary locations. The findings also offer insights for policymakers and CWS providers, underlining the importance of designing CWS environments that meet micro-entrepreneurs' diverse needs.

This study contributes to the existing literature by providing a detailed examination of the utilization of CWS among micro-entrepreneurs and the impact of CWS on their wellbeing and entrepreneurial satisfaction.

The proliferation of industry platforms has disrupted several industries. Firms adopting a platform business model have experienced a substantial expansion in size and scale, positioning themselves as the foremost valuable entities in market capitalization. Over the past two decades, there has been a substantial expansion in the body of literature dedicated to platforms, and different streams of research have emerged. Despite considerable efforts and the significant progress made in recent years toward a comprehensive understanding of industry platforms, there is still room for further harnessing the field’s diversity. As a result, the aim of this article is to examine the field’s structure, identify research concerns and provide suggestions for future research, thereby enhancing the overall understanding of industry platforms.

We conducted a thorough examination of 458 articles on the topic using bibliometric methods and systematic review techniques.

Through co-citation analysis, we identified five distinct clusters rooted in various bodies of literature: two-sided markets, industry platforms, digital platforms, innovation platforms and two-sided networks. Furthermore, the examination of these five clusters has revealed three key areas that demand further consideration: (1) terminologies, (2) classifications and (3) perspectives.

While previous reviews have provided valuable insights into the topic of industry platforms, none have explored the structure of the field so far. Consequently, as a first step toward advancing the field, we uncover the structure of the literature, identifying three major areas of concern. By addressing these concerns, our goal is to converge different clusters, thereby harnessing the diversity in the field and enhancing the overall understanding of industry platforms.

For over a decade, fintech has challenged traditional business models and processes in the financial services industry. The ongoing disruption has necessitated the digital transformation of financial institutions (FIs) to remain an integral part of the financial system. This paradigm shift is not merely a technological update. Still, it signifies a cultural and operational rebirth, compelling FIs to embrace innovation, adaptability, and a customer-centric approach in the digital era. Independent of the business model, FIs must become digitally ambidextrous, offer tailored and dynamic customer experiences, support financial inclusion, and promote an environmental, social, and governance (ESG) agenda while leveraging data and remaining compliant. From digitalization to fintegration, the financial services industry's future is deemed to be an exciting and productive one.

The purpose of the study is to investigate the differences between generational groups (specifically Generations X, Y and Z) in terms of variables that influence organisational commitment and intention to stay within an organisation. The aim is to fill the research gap in understanding how different factors influence commitment and retention across different generations.

This study follows a quantitative approach based on cross-sectional survey data. The respondents were employees of Generations X, Y and Z. The data were analysed using partial least squares structural equation modelling and multigroup analysis.

The results of the study indicate several relationships between variables and organisational commitment/intention to stay. Person-organisation fit is positively related to organisational commitment, and work-life balance is positively related to both organisational commitment and intention to stay. The mediation of organisational commitment shows a positive relationship with person-organisation fit and work-life balance. In addition, there are positive relationships between organisational culture and both organisational commitment and intention to stay, as well as a positive relationship between person-organisation fit and intention to stay. Furthermore, all three Generations (X, Y and Z) show positive relationships between organisational commitment and intention to stay.

The implications of the study are twofold. First, it provides theoretical contributions by uncovering the relationships between various variables and organisational commitment/retention. Second, it provides practical implications for organisations by highlighting the importance of person-organisation fit, work-life balance and organisational culture in fostering commitment and retention among employees of different generations.

The originality and value of this study lies in its exploration of the differences between generational groups in terms of variables affecting organisational commitment and intention to stay. By addressing this research gap, the study contributes to the existing literature on organisational commitment and retention. The detailed presentation of theoretical contributions, practical implications, limitations and suggestions for future research enhances the overall value of the study.