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Cluster management organizations (CMOs) have emerged over the past few decades as intermediaries that support the competitiveness of place-based clusters of economic activity. Despite their economic origins, policymakers are now starting to experiment with a broader use for cluster policies that seeks to leverage CMOs to tackle societal challenges in approaches aligned with the concept of creating shared value (CSV). However, there remains a void in conceptual understanding around the specific roles that CMOs might play in overcoming the barriers faced by their members for CSV, which this paper aims to address. Bridging this gap presents an opportunity for cluster practitioners and policymakers in a context in which environmental and social sustainability are at the top of policy agendas.

Based on analysis of literature around collaborative approaches to CSV for mitigating transaction costs, the authors define the contours of a new conceptual framework for the roles that CMOs can play in fostering collective CSV. The authors illustrate how the different components of the framework are reflected in emerging cluster practice in the context of a new wave of European cluster-based projects tackling CSV elements.

The resulting framework reconciles the concepts of clusters and CSV by explicitly positioning CMOs as intermediaries for facilitating the CSV strategies of their members. CMOs embrace emergent strategy making that targets (tangible and intangible) collective CSV capabilities and addresses collective CSV challenges. Collective CSV can provide a theoretical anchor guiding future cluster policies to fully leverage the transformative potential of CMOs. This conceptual framework opens a promising empirical research agenda, particularly around evaluating the plurality of impacts of CMOs.

By stressing the social impact of CMOs alongside their well-understood economic impacts, and by enabling a categorization of functions that can support the monitoring of CMO activities toward collective CSV strategies, the framework provides a novel basis for inspiring further empirical research into the evidencing of these roles.

This paper aims to explore the stages and processes of work identity reconstruction following a major health-related career shock.

In-depth case study and interpretive phenomenological methods are used to allow for deep reflective self-analysis of post-career shock stages. The paper explores the identity processes and stages a Chief of Human Resources of a multinational firm experienced after being deprived from his main working abilities as a result of a brain stroke.

Post-shock work identity stages and processes are identified, as long as the importance of identity threat, liminality, identity internalization and relational recognition in the reconstruction process. The findings propose new coping responses that may allow individuals to escape a diminished work identity: identity shedding and identity implanting.

While career shocks play a significant role in career development, there is currently little understanding of how career shocks may affect individuals' work identity or sense of self, particularly over time. The paper provides a nuanced understanding of this phenomenon, through process data collected at several points in time over a period of 14 years.

The purpose of this study is to propose a new mapping tool called Circular Value Stream Mapping (C-VSM) that combines Circular Economy principles with Lean tools to enhance sustainability performance in operations.

To develop the C-VSM tool, the researchers conducted a literature review and a focus group. The tool was then applied to two real case studies in the agri-food sector, specifically analyzing an artichoke and olive oil producer, to assess its validity and effectiveness.

The study introduces the Circular Resource Box (CRB) as a key innovation in the C-VSM tool. This visual representation effectively captures resource circularity and how resources and wastes are managed, making it easy to identify circularity in the production process. By combining qualitative and quantitative information with this visual representation, companies can identify improvement opportunities aligned with the CE.

The research is limited in scope as it focuses on the application of the C-VSM tool in the agri-food sector. Further research could explore its applicability in other industries and settings to understand its broader impact.

The C-VSM tool provides practical benefits to companies seeking to transition from linear to circular production processes. It enables practitioners to identify opportunities to reduce environmental impacts and optimize production operations in line with CE.

The introduction of the C-VSM tool is a novel approach that bridges the gap between Lean Manufacturing and CE concepts, advancing the understanding of how CE thinking can be effectively implemented in operations.

Effectuation has received increased attention in the field of entrepreneurship. However, previous studies have focused on performance rather than on networking and word-of-mouth (WOM) marketing. Therefore, the purpose of this study is to understand the mediating effect of networking on the relationship between effectuation and WOM marketing.

This study used partial least squares structural equation modeling to investigate the relationship between effectuation and WOM marketing mediated through networking. The research model was assessed using data from a sample of 256 entrepreneurs.

The results reveal that effectuation positively influences WOM marketing, mediated by networking. This study provides new insights into the precursors of WOM marketing and highlights the importance of networking in this process.

The implications of these findings suggest that entrepreneurs should create networking plans that focus on the maintenance and creation of new customers. This plan could be tracked via email, cell phone or online social data to maintain awareness of the failures and successes of the process and for continual improvement.

A vast number of studies have been conducted on effectuation and networking. However, to the best of the authors’ knowledge, no previous study has investigated the influence of these two variables on WOM marketing. Entrepreneurs face long-term sales challenges, and this study proposes that networking could be a solution, thereby increasing WOM marketing sales.

The purpose of this paper is to unearth various dimensions of employee experience (EX) and explore how pandemic impacted various EX factors using online employee reviews. The authors identify employee-discussed EX-factors and quantify the associated sentiments and importance.

This paper employs Latent Dirichlet Allocation on the online employee reviews to identify the key EX-factors. The authors probe sentiments and importance associated with key EX-factors using sentiment analysis, importance analysis, regression analysis and dominance analysis.

The result of topic modeling identifies 20 EX-factors that shape overall EX. While skill development plays a major role in shaping overall EX, employees perceived Salary and Growth as the most important EX-factor and expressed negative sentiments during the pandemic. Employee sentiments significantly influence overall EX.

When employees have extensive change experience, managers should consider various facets of EX to manage the smooth change and deliver a better EX. This research offers key EX-factors to be considered by managers while dealing with employees. Online employee reviews websites are recommended to include the identified key EX-factors to comprehend the holistic EX.

This study contributes to the growing literature on the employee experience as a concept by identifying various EX-factors. The authors expand the extant EX scales by identifying an inclusive and updated set of EX-factors.

This study aims to develop a research agenda for the advancement of theory application in practical contexts by presenting a case study of the Engagement in Plastic-free Innovation for Change (EPIC) programme delivered by Plastic Oceans Australasia (POA).

EPIC is a behaviour change programme by POA that aims to reduce single-use plastic (SUP) consumption in workplaces. The study evaluates the programme’s impact on employee perceptions and actual behaviour through pre- and post-programme data collection in two Australian workplaces. Data was gathered via online surveys and waste audits and analysed using SPSS statistics and Excel.

The case study highlights the need for theory application in programme evaluation instruments. Theory was not used in the programme evaluation tool, and theory could not be mapped onto the tool retroactively. The data from the present study showed mixed results. Data from Workplaces 1 and 2 indicated that EPIC successfully improved three out of seven employee perceptions of SUP reduction efforts. However, individual workplace data showed that EPIC only improved one out of seven perceptions in Workplace 1 and three out of seven perceptions in Workplace 2. Surprisingly, Workplace 1 observed a decrease in plastic waste after the programme, while Workplace 2 saw an increase. Without the clear integration of theory, it is difficult to pinpoint areas for improvement. It is, however, posited that COVID-19 restrictions on people attending their workplaces and low survey response rates may have contributed to these unexpected results.

The present study highlights key improvements that can be made to evaluations of voluntary behaviour change programmes. Careful evaluation of behaviour change programmes is key to improving programme effectiveness. Practitioners will find the suggested improvements from this study helpful in developing and refining voluntary behaviour change programme evaluations.

This is one of the first studies to evaluate the impacts of a voluntary behaviour change programme aimed at reducing SUPs in the workplace. It also adds to the limited literature on voluntary behaviour change interventions overall and adds to the movement towards better application of theory in behaviour change interventions.

Although research on job insecurity (JI) and its relationship with employee performance has increased in recent years, results are mixed and inconclusive. The objectives of this paper are to explore 1) the conceptualizations of JI, 2) the relationship between JI and different performance dimensions, 3) the theoretical perspectives used to explain the JI–performance relationship and 4) the mechanisms and contextual boundaries that affect the JI–performance relationship.

Following the PRISMA guidelines, the authors systematically searched for peer-reviewed empirical studies published before July 2021 in Web of Science and Scopus. The authors analyzed 81 empirical studies published on the conceptualization of job insecurity, its relationship with employee performance, and what mechanisms and contingency factors are studied. The authors used thematic analysis to analyze the articles.

Results of this review show that the quantitative cognitive dimension is dominant in extant JI literature. Furthermore, in-role performance and OCB were most often investigated in relation to the four dimensions of job insecurity, drawing from a range of theoretical perspectives to explain this relationship. Moreover, a variety of mechanisms and contextual factors on individual, individual work-related, individual-level attitudes and job-level characteristics have found to play a role in this relationship.

This study has a number of limitations. The first pertains to the exclusion of articles in languages other than English and non-peer reviewed papers. It is possible that the search strategy used may not have identified other studies that may have met the established criteria in order to be included in our research. However, this method was chosen to guarantee the quality of the included articles in this study and in line with previous meta-analyses and literature reviews (De Witte et al., 2016; Sverke et al., 2019). Second, one selection criteria focused on how performance was assessed in the studies incorporated in this literature review. The authors excluded studies that addressed performance from the perspective of the organization (i.e. studies that measured performance at the organizational level). The authors herewith might have excluded studies that focused on one or multiple job insecurity constructs, but the authors herewith included studies that were comparable in terms of performance indicator outcomes. Future studies could expand the search by investigating, as a next step, the impact on organizational performance. Finally, since the focus of this literature review was on the relationship between job insecurity and performance indicators, including the mechanisms and boundary conditions that affect this relationship, the authors did not include focus on how job insecurity can be influenced (Shoss, 2017), and herewith lack information on the predictors side of job insecurity. However, by narrowing the authors focus to mediators and moderators, the authors were able to come up with an extensive list of factors that impact the job insecurity–performance relationship and herewith provide fruitful areas for future research. Future studies could expand these findings by providing an overview of predictors of different job insecurity constructs, to see whether there are potential different predictors of job insecurity conceptualizations (Jiang and Lavaysse, 2018).

The study review contributes to the systematization of the current empirical evidence on this area of research. This is especially important and enables room to take an additional step toward understanding the consequences of job insecurity on performance. Specifically, it is important for organizations and policymakers to be aware of the different conceptualizations of job insecurity that exist and how they impact employee performance. In addition, an overview of potential mechanisms and boundary conditions that affect this relationship provides insights as to how organizations can intervene to affect reactions to job insecurity.

The study findings are relevant and may be of interest to decision makers in organizations and national authorities that must have information on quality concerning the effects of job insecurity on performance.

Based on these findings the authors show the impact of the different conceptualizations of job insecurity and how they affect job performance. In addition, the authors provide recommendations for future studies how to better handle the integration of different conceptualizations and measures of job insecurity and its different approaches.

This paper proposes a maturity model to indicate the operational excellence (OE) implementation status of businesses in emerging countries, considering its importance in Industry 4.0.

The study involves four steps. First, undertake a study of the literature to identify the variables to consider in the maturity model; second, identify how to organize the variables found in the first step; third, structure a questionnaire to define the maturity model; and lastly, validate the variables found in the literature and the maturity levels.

A total of 23 variables were validated through interviews with general managers, operation managers and experts within organizations. Interviews were carried out in 49 companies from different sectors. Five maturity levels were defined in this study: basic level, beginner level, training level, innovative level and champion level.

Many businesses are implementing OE as a practice to remain competitive in their industries, targeting economic, environmental and social sustainability. However, OE implementation in companies from developing or emerging countries is far below the average level of that in developed companies due to cultural, political or economic constraints. To the best of the authors’ knowledge, there is no model that indicates the status of OE implementation in companies from emerging countries or the different levels to implement OE. This study fills the mentioned gap.

This paper aims to review in-memory computing (IMC) for machine learning (ML) applications from history, architectures and options aspects. In this review, the authors investigate different architectural aspects and collect and provide our comparative evaluations.

Collecting over 40 IMC papers related to hardware design and optimization techniques of recent years, then classify them into three optimization option categories: optimization through graphic processing unit (GPU), optimization through reduced precision and optimization through hardware accelerator. Then, the authors brief those techniques in aspects such as what kind of data set it applied, how it is designed and what is the contribution of this design.

ML algorithms are potent tools accommodated on IMC architecture. Although general-purpose hardware (central processing units and GPUs) can supply explicit solutions, their energy efficiencies have limitations because of their excessive flexibility support. On the other hand, hardware accelerators (field programmable gate arrays and application-specific integrated circuits) win on the energy efficiency aspect, but individual accelerator often adapts exclusively to ax single ML approach (family). From a long hardware evolution perspective, hardware/software collaboration heterogeneity design from hybrid platforms is an option for the researcher.

IMC’s optimization enables high-speed processing, increases performance and analyzes massive volumes of data in real-time. This work reviews IMC and its evolution. Then, the authors categorize three optimization paths for the IMC architecture to improve performance metrics.

Focusing on small- and medium-sized enterprises (SMEs), which are characterized by resource restrictions, this paper aims to explore consumer segment profiles by considering demographic, personality and creativity traits to determine whether consumers with different profiles exhibit distinct affective reactions to different logo design types (organic, cultural and abstract).

This exploratory study incorporates recent methodological developments, such as the novel response style correction method, to account for response style effects in evaluations of affect toward logo design. In separate analyses, respondents are segmented according to response style–corrected logo affect and personality and creativity items. The segmentation analysis relies on reduced k-means, a joint dimension and cluster analysis method, which accounts for dependencies between items while maximizing between-cluster variability. A total of 866 respondents from the Iberian Peninsula (Portugal: n = 543; Spain: n = 323) participated.

Based on a study using unknown logos (proxy for lower levels of budget communication, characteristics of SMEs), results reveal that there are three segments of consumers based on their affective response toward logo design: logo design insensitives, cultural logo dislikers and organic logo lovers. These segments are associated with different personality traits, creativity and biological sex (although biological sex is not a discriminant variable).

The decision not to control logos by color, to increase external validity, could limit the study’s internal validity if this aspect interacts with relevant study variables. Nevertheless, the empirical evidence can be used to further test associations between consumer profiles and responses to logo design.

Findings highlight the relevance of considering complex profile segments, combining demographics, psychographics and creativity to predict affective consumer responses to brand logo design. This research provides guidelines for SMEs when choosing or modifying their logo design to appeal to different consumer segments.

This study provides managers of SMEs (less present nowadays in empirical studies) with evidence suggesting that complex customer profiles help to understand differences in affective responses to natural logo designs. Furthermore, it relies on the use of a novel methodological development that improves the accuracy of the exploratory study developed.