Search results

This study aims to examine how different uses of performance measurement systems (PMS) enable or hinder organizational ambidexterity (OA), intended as the simultaneous pursuit of exploitation and exploration.

Following a qualitative research design, we gathered data through semi-structured interviews, observations and reviews of documents at four departments of an automotive firm.

We contribute to operations management research and practice by demonstrating how PMS, which are typically associated with exploitation, can also foster exploration and enable organizations to become ambidextrous. Specifically, we show how PMS can be structured and used in more agile ways and, in relation to innovation, we identify which PM practices should be introduced and with what effects and those that should be avoided. We also contribute to organization theory by highlighting how a single management tool can promote the achievement of both exploration and exploitation.

In investigating PMS uses and their effects, we identify several positive practices. For example, we show how managers can use PMS more effectively and how targets could be deployed to stimulate creativity and innovation. We also emphasize the need for managers to opt more often for team incentives rather than individual ones to encourage the collaboration needed for OA.

We provide in-depth insight into how PM tools affect an organization’s ability to pursue exploitation and exploration, thus contributing to research in operations, innovation and organization theory.

Drawing on the socioemotional selectivity theory and the volunteerism literature, this study aims to examine the influence of empathy, altruism and opportunity recognition, on social entrepreneurial intentions (SEI) of people who have retired from a full-time career. Furthermore, the study examines whether the above-mentioned relationships are mediated by moral obligation.

A set of hypotheses is tested by applying partial least squares structural equation modelling on a survey sample of 227 retirees in Oman, who had participated in an entrepreneurial leadership training after retirement. Using SmartPLS software, the path model is tested through bootstrapping.

The findings suggest that altruism and opportunity recognition do not have a direct relationship with SEI, however, they are significant only when mediated through moral obligation. Nevertheless, empathy has a significant direct association with SEI, and an indirect relationship through moral obligation.

The findings of this study demonstrate that to develop intentions to indulge in social entrepreneurship, among retirees who are approaching their senior years, the focus should be on driving their sense of moral obligation to society. Hence, policymakers and authorities connected to social wellbeing goals can fine-tune their initiatives, such as training, by emphasizing on moral obligation to address social issues through social entrepreneurship.

The novelty of this study is twofold. Firstly, to the best of the authors’ knowledge, it seems to be among the first empirical study that is at the crossroads of the senior entrepreneurship and the social entrepreneurship literature. Secondly, this study fills a gap in the extant literature by deploying the socioemotional selectivity theory to examine the antecedents of SEI of people who have retired from full-time employment in their early to late senior years.

Given epidemiological data highlighting poor health outcomes for prison staff and correctional workers, this systematic review aims to understand what health promotion interventions, delivered in prison settings, are effective for prison staff health.

A systematic review was undertaken, with search parameters encompassing papers published over a ten-year period (2013–2023). Health promotion programmes; well-being programmes; and occupational health interventions to support prison staff health as part of a targeted approach or as part of a whole-prison approach were included in the review.

The review identified 354 studies, of which 157 were duplicates and 187 did not meet the inclusion criteria. This left ten studies in the review from five countries. Reducing the impact of tobacco smoke was the commonly cited intervention, with four studies focusing on smoke-free prison legislation, but other studies focused on stress reduction for staff and supporting holistic health. The papers were of poor methodological quality, with the exception of three included studies that had robust designs. Most studies showed limited or no impact of interventions to support prison staff health, the exception being policy interventions to reduce second-hand smoke exposure.

Prison staff have poor health outcomes and yet limited attention has been paid to interventions to support their health. This review suggests a number of considerations for future policy and practice and direction for further research to improve prison staff health.

Effective use of data across public health organisations (PHOs) is essential for the provision of health services. While health technology and data use in clinical practice have been investigated, interactions with data in non-clinical practice have been largely neglected. The purpose of this paper is to consider what constitutes data, and how people in non-clinical roles in a PHO interact with data in their practice.

This mixed methods study involved a qualitative exploration of how employees of a large PHO interact with data in their non-clinical work roles. A quantitative survey was administered to complement insights gained through qualitative investigation.

Organisational boundaries emerged as a defining issue in interactions with data. The results explain how data work happens through observing, spanning and shifting of boundaries. The paper identifies five key issues that shape data work in relation to boundaries. Boundary objects and processes are considered, as well as the roles of boundary spanners and shifters.

The study was conducted in a large Australian PHO, which is not completely representative of the unique contexts of similar organisations. The study has implications for research in information and organisational studies, opening fields of inquiry for further investigation.

Effective systems-wide data use can improve health service efficiencies and outcomes. There are also implications for the provision of services by other health and public sectors.

The study contributes to closing a significant research gap in understanding interactions with data in the workplace, particularly in non-clinical roles in health. Research analysis connects concepts of knowledge boundaries, boundary spanning and boundary objects with insights into information behaviours in the health workplace. Boundary processes emerge as an important concept to understand interactions with data. The result is a novel typology of interactions with data in relation to organisational boundaries.

The purpose of this paper is to scrutinise the effectiveness of four derivative exchanges’ enforcement efforts since 2007. These exchanges include the Commodity Exchange Inc. and ICE Futures US from the United States and ICE Futures Europe and the London Metal Exchange from the UK.

The paper examines 799 enforcement notices published by four exchanges through a behavioural science lens: HUMANS conceived by Hunt (2023) in Humanizing Rules: Bringing Behavioural Science to Ethics and Compliance.

The paper finds the effectiveness of the exchanges’ enforcement efforts to be a mixed picture as financial markets transition from the digital to artificial intelligence era. Humans remain a key cog in the wheel of market participants’ trading operations, albeit their roles have changed. Despite this, some elements of exchanges’ enforcement regimes have not kept pace with the move from floor to remote trading. However, in other respects, their efforts are or should be, effective, at least in behavioural terms.

The paper’s findings are arguably limited to exchanges based in Anglophone jurisdictions. The information published by the exchanges is variable, making “like-for-like” comparisons difficult in some areas.

The paper makes several recommendations that, if adopted, could help exchanges to increase the potency of their enforcement programmes.

A key aim of the paper is to shift the lens through which the debate concerning the efficacy of exchange-level oversight is conducted. Hitherto, a legal lens has been used, whereas this paper uses a behavioural lens.

The objective of this study is to investigate the impact of restorative supply chain practices on sustainability performance in a circular economy (CE). The moderating effect of supply chain managers' perceived professional status on restorative supply chain practices and stakeholder collaboration is also examined.

The theoretical model was developed via the practice-based view, and the model was tested using a sample comprising 142 respondents. WarpPLS 8.0 software was utilized to run the structural equation model.

The analysis shows that restorative supply chain practices result in an intermediate outcome (i.e. stakeholder collaboration), which ultimately improves the sustainability performance of the restorative supply chain. Interestingly, the perceived professional status of supply chain managers acts as a moderate-level mediator in the relationship between restorative supply chain practices in a CE and the sustainability performance of the restorative supply chain in a CE.

Collaboration with stakeholders fosters enhanced communication, cooperation and shared responsibility, thereby creating a socially inclusive and cooperative environment within the restorative supply chain. Improving supply chain sustainability performance supports broader environmental goals, including reducing greenhouse gas emissions and waste and conserving natural resources. Recognizing the perceived professional status of supply chain managers underscores the need to empower them and acknowledge their strategic role in driving sustainability within the organization. Companies can contribute to a more sustainable business environment by adopting restorative practices in the supply chain and addressing the social impacts.

The unique contribution of the findings of this study lies in the examination of the relationship between restorative supply chain practices, stakeholder collaboration, perceived status of supply chain managers and sustainability performance in the context of the CE. The findings imply that restorative supply chain practices positively impact stakeholder collaboration, which in turn improves supply chain sustainability performance. In addition, the study highlights the moderating role of the perceived status of supply chain managers and underscores their influence on strengthening restorative practices and stakeholder collaboration. This study provides valuable insights into the dynamics and mechanisms driving sustainability performance in the context of restorative supply chains operating within a CE.

The purpose of this article is to develop an integrative framework of accelerator design to answer the question of what activities accelerators perform and how they function within a structured framework. Research on the functioning of accelerators as a mechanism for startup engagement produced multiple empirical results. However, the comparability of relevant research is strongly limited, currently hindering theoretical developments. Existing accelerator design models often differ and only partially overlap, which leaves extant literature with a fragmented and discordant conceptual understanding.

Based on a meta-synthesis method using qualitative analysis of 36 accelerator design articles, an integrative framework is developed. After identification of relevant literature, a renowned method for extracting, coding and synthesizing data on individual and cross-study level is applied to identify accelerator design constructs. Eventually, identified accelerator design constructs are integrated into a framework resting on the activity system lens of business model design.

The article reconciles fragmented knowledge on accelerator design and shows how accelerator design can be holistically conceptualized by 32 key activities clustered in eight design dimensions. The framework is complemented by an initial guideline for measurement. The findings further highlight formerly disregarded aspects of governance and community formation from a processual and structural perspective.

This article is the first to present a comprehensive picture of accelerator design integrating multiple empirical findings of prior research into a single coherent framework. This framework offers a shared foundation for future research exploring the delineations, functioning and impact of accelerators. From a practical perspective, the article provides managers of accelerators a guide to design, review and improve programs according to their value creation goals.

Digital labor platforms (DLPs) are transforming the nature of the work for an increasing number of workers, especially through extensively employing automated algorithms for performing managerial functions. In this novel working setting – characterized by algorithmic governance, and automatic matching, rewarding and punishing mechanisms – gig-workers play an essential role in providing on-demand services for final customers. Since gig-workers’ continued participation is crucial for sustainable service delivery in platform contexts, this study aims to identify and examine the antecedents of their working outcomes, including burnout and engagement.

We suggested a theoretical framework, grounded in the job demands-resources heuristic model to investigate how the interplay of job demands and resources, resulting from working in DLPs, explains gig-workers’ engagement and burnout. We further empirically tested the proposed model to understand how DLPs' working conditions, in particular their algorithmic management, impact gig-working outcomes.

Our findings indicate that job resources – algorithmic compensation, work autonomy and information sharing– have significant positive effects on gig-workers’ engagement. Furthermore, our results demonstrate that job insecurity, unsupportive algorithmic interaction (UAI) and algorithmic injustice significantly contribute to gig-workers’ burnout. Notably, we found that job resources substantially, but differently, moderate the relationship between job demands and gig-workers’ burnout.

This study contributes a theoretically accurate and empirically grounded understanding of two clusters of conditions – job demands and resources– as a result of algorithmic management practice in DLPs. We developed nuanced insights into how such conditions are evaluated by gig-workers and shape their engagement or burnout in DLP emerging work settings. We further uncovered that in gig-working context, resources do not similarly buffer against the negative effects of job demands.

To overcome economic hardship and survival, informal entrepreneurs must continually activate specific resilience capabilities and reassess their entrepreneurial intentions (EI). Accordingly, they may develop transformational characteristics to design a model supporting intersectorial business growth. This study aims to examine the EI ecosystem of change resulting from the above endeavors and proposes an entrepreneurial intention transformation model (EITM).

Using the EI questionnaire developed by Liñán and Chen, data was collected from street vendors in the main markets of the Cameroonian capital (N = 307) to capture the determinants of behavior reflecting the propensity to activate entrepreneurial events within informal ventures.

It was uncovered that perceived collective support, resilience, orientation capability and inferred policies influence the dynamics of EI in the informal sector. Additionally, while revisiting current entrepreneurial lifecycle models, the study distinguished between the entrepreneurial events of “renegare” and formalization. Furthermore, the construction of an informal entrepreneurial lifecycle model confirms the need to acknowledge the formalization and “deformalization” processes as integrative parts of an intersectorial entrepreneurial lifecycle model.

This study extends existing research by proposing an intersectorial entrepreneurial lifecycle to recognize the dynamics of EI on ventures’ formalization. The EITM encompasses the EI dynamic process model and the proposed entrepreneurial lifecycle.

The study investigates whether the customer experience, satisfaction and continuance intention interrelationships in mobile banking services vary across Generation (Gen) Y and Gen Z consumers.

The data were collected using online surveys from 224 Gen Y and 238 Gen Z mobile banking users. The study uses the partial least squares structural equation modelling (PLS-SEM) technique and an asymmetrical analytical approach through fuzzy set qualitative comparative analysis (fsQCA) to examine the effects of five experience dimensions (pragmatic, usability, affective, sensory and social) and satisfaction on continuance intention.

Whilst Gen Z values pragmatic and affective experiences more than Gen Y and assigns less importance to usability experience (Uxp), both PLS-SEM and fsQCA did not find any significant impact of sensory experience (Sxp) in any cohort. In contrast, fsQCA suggests that social experience could play a significant role for specific segments within both generations. Furthermore, PLS-SEM demonstrates a greater impact of satisfaction on continuance intention for Gen Y than for Gen Z.

The sample consists of high/middle-income urban consumers in one country. Future research could investigate low-income and semi-urban/rural consumers and consumers living in other countries.

Banks must recognise the diversity within and between Gen Y and Gen Z, adopting a segmented user experience approach. Users within each generation may prioritise distinct aspects of the mobile banking app and understanding the specific differences between Gen Y and Gen Z preferences is crucial.

Encouraging mobile banking users to engage in community-driven financial initiatives can inspire non-users, promoting digital financial inclusion.

To the best of the authors' knowledge, this study is the first to compare the customer experience-based psychological patterns of continued mobile banking use in Gen Y and Gen Z.