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The lean startup approach (LSA) is extensively utilized by early-stage entrepreneurs, with “pivot” serving as a key pillar. However, there is a research gap concerning the boundary conditions impacting LSA and pivot decisions, especially when addressing societal challenges, as in the context of transformational entrepreneurship. In this regard, the healthcare sector, further compounded by a lack of research on startups and scale-ups, presents an embraced opportunity to provide multiple contributions for both theory and practice.

The present investigation employs a grounded approach to explore the experiences of the co-founders of a fast-growing Italian e-health startup. A narrative strategy was employed to organize conditions and evolving strategic action/interactions into three different pivoting phases of the startup – before the pivot, its enactment and aftermath – with primary and secondary data collected over a period of one year.

Pivoting in digital healthcare unfolded as a liminal experience marked by factors such as high regulation, multiple stakeholders, technological and symbolic ambivalence, resource-intensive demands and institutional actors acting as pathway pioneers, leading to an information overload and unforeseeable uncertainty to manage. These factors challenge entrepreneurs' ability to attain optimal distinctiveness, presenting the paradoxical need for vertical flexibility for scaling up.

By uniquely illuminating the sector’s constraints on entrepreneurial phenomena, this study provides a valuable guide for entrepreneurs and institutional actors in addressing societal challenges.

This study introduces a process model of transformational information crafting when pivoting, highlighting the role of entrepreneurs' transformational stance and platform-mediated solutions as engines behind strategies involving information breaking and transition, preceding knowledge-driven integration strategies.

This chapter aims to contribute to the literature on sustainability in the public sector by discussing how human resource and human resource management can help to integrate environmental management into organizations and improve environmental performance. Public sector scholars have neglected the study of Green Human Resource Management (GHRM) until now. Nevertheless, implementing such practices could lead to positive outcomes regarding awareness of environmental issues, organizational reputation and attractiveness, job satisfaction and organizational performance. The authors discuss the relevance and the necessity of developing a field of research on GHRM in public organizations. Starting from a conceptual review of the main literature on GHRM, this chapter provided some directions for future research.

This article examines public sector leadership during the economic crisis caused by the coronavirus pandemic in Ghana. It focuses on the Bank of Ghana – the nation's central bank responsible for monetary policy and financial sector leadership – and examines the critical leadership attributes that the central bank demonstrated through its administrative and policy responses to the crisis.

Text-based content analysis is the method of investigation in this study. The analysis relies on textual data from the Bank of Ghana's monetary policy committee press briefings. The textual data are analyzed in three steps, namely pre-analysis, analysis and interpretation to identify patterns, themes and emphases and to make inferences about the central bank's public sector leadership during the coronavirus crisis in Ghana.

The findings from textual analysis of monetary policy committee press briefings show that the central bank demonstrated several criteria of effective public service leadership during the crisis, namely sensemaking, critical decision-making, communication, accountability, adaptability and, to an extent, learning. However, the textual evidence suggests that the Bank of Ghana needs to broaden its collaboration and coordination across a wider spectrum of stakeholders in economic crisis management, while not compromising its policy independence.

This article contributes to the emerging literature on public sector leadership during the COVID-19 crisis. It provides a unique perspective on public sector leadership through the lens of economic crisis management in a developing country context.

This study focuses to develop a common humanitarian supply chain process model (HSCPM) that enables effective enterprise resource planning (ERP) systems for NGOs, and the study also investigates the role of modularity as a dynamic capability that supports creating such model.

A multifocus group study was performed as part of a larger project, the Frontline Humanitarian Logistics Initiative, aiming to establish a common data model that would serve as the backbone of humanitarian ERP systems. Fourteen international humanitarian organizations (IHOs) participated in the process, reaching a consensus on the structure of the process model.

An HSCPM was proposed based on the consensus reached across IHOs. Four degrees of customization differentiating between “generic,” “tailored,” “specific,” and “unique” processes are presented and discussed.

The findings show modularity applied to process as a mean to create dynamic efficiencies and position the modular process model within the dynamic capabilities framework, supporting supply chain responsiveness and expanding the literature on supply chain management (SCM), dynamic capabilities, and humanitarian logistics.

This research proposes a consensus-based data model, facilitating the advancement of ERP systems in the humanitarian context and lays a foundation for interoperability among ERP systems across diverse IHOs.

First attempt to elucidate the specific characteristics and unique processes defining an HSCPM, this study reached an unprecedented consensus for the humanitarian sector, setting the base toward an industry standard.

This study investigated the micro–macro link in the hospitality and tourism (H&T) sector, specifically considering whether the gender diversity, independence and board attendance rates of H&T firms' boards, alongside the moderation effect of board policies, played a significant role in tourism sector performance.

The 2011–2018 data were retrieved from the World Bank and the Thomson Reuters Eikon databases, and fixed effects panel regression was conducted.

While female directors were a significant driver of tourism sector performance in terms of tourist arrivals and tourism receipts, independent directors were effective in improving tourist arrivals only. Furthermore, moderation analyses demonstrated the inefficacy of board policies in enhancing these directors' contributions to the sector's development. Moreover, the findings revealed the inefficiency of board meetings.

Concerning the efficacy of board policies, the results suggest that firms' boards should review and revise their policies. Surprisingly, while board-diversity policies made no difference to female directors' role in the sector's development (although females were influential), board-independence policies produced unexpected results. In the absence of a board-independence policy, independent directors are influential, but if a policy exists, they are not.

Although prior firm-level studies tested whether board characteristics enhanced firms' performance in the H&T sector, they did not investigate whether board characteristics promoted tourism sector performance. Moreover, the moderating effect of board policies on boards' structures and tourism sector performance has not yet been examined.

This study takes a dyadic approach to explaining merger and acquisition (M&A) deal outcomes. Acknowledging the socio-cognitive (e.g. intangible and macro-environmental) idiosyncrasies, the authors theorize that some acquirer–target dyads have a superior ability to complete complex relational transactions in an M&A deal. Specifically, deals are successful when an acquirer and a target: are similar considering their sectoral characteristics, have contextually-informed deal-making competencies, and are familiar with one another given their sectoral and institutional features.

This study uses logistic regression analysis to examine how sectoral and institutional characteristics in the acquiring and target company dyads relate to the likelihood of merger and acquisition deal completion.

Analyzing a sample of 37,560 M&A deals, the authors find empirical evidence in support of the dyadic to deal completion. The authors find that sectoral similarity and institutional familiarity in an M&A dyad can predict the likelihood of deal completion. Specifically, service multinational acquirers are more competent than their manufacturing counterparts in general, and in same-sector and same-country deals in particular. In contrast, service sector acquirers also are at a relative disadvantage vis-à-vis their manufacturing counterparts in cross-national deals.

Considering the theoretical and managerial implications, the authors identify new avenues for future research on service and manufacturing M&A dyads that can deepen the knowledge of inter-firm transaction processes.

First, the authors draw on the socio-cognitive, behavioral, and relational models to explain M&A deal process in both domestic and cross-border settings. Drawing on service vis-à-vis manufacturing sector business models, the authors predict deal completion. Second, the authors propose that familiarity between the acquiring and target companies in the form of sectoral and cross-national factors becomes pivotal to the inter-firm processes. Finally, the authors empirically demonstrate how inter-firm dynamics in a dyad can pose complex deal-making challenges, which make some acquirers especially susceptible to contextual shocks.

Prosocial job characteristics have received the least scholarly attention among the antecedents of employee innovative work behavior (IWB). Hence, antecedents' role remains largely unknown, especially in public sector organizations. Based on the relational job design theory, job characteristics theory (JCT) and public sector innovation literature, the authors examine whether job impact (JI) promotes public sector employees' IWB mediated by work meaningfulness (WM). This study also assesses whether servant leadership (SL) strengthens the influence of JI on IWB (via WM).

The model was examined on a sample of 180 employee-supervisor dyads (90 supervisors and 180 employees) recruited from various government departments in the United Arab Emirates (UAE).

The finding supports the proposed moderated mediation model in which JI enhances IWB. The association between JI and innovative behavior via WM is found to be stronger under high SL behavior.

The authors' findings offer prescriptive insights into SL's crucial role in illustrating when and how JI promotes IWB and offer relevant managerial recommendations for encouraging public sector employees to demonstrate innovative behavior. The authors also provide empirical evidence on the significant contribution of a prosocial job characteristic, i.e. JI, to IWB. In addition to having theoretical and practical significance, the authors' study is aligned with the UAE National Innovation Strategy 2015.

The purpose of this paper is twofold: first, it explores the influencing factors of the government’s trust decision-making in the private sector; second, it explores how these influencing factors affect the government’s trust decisions.

A theoretical model was established, and a questionnaire survey was conducted among 152 professionals. The collected datas were analyzed by the structural equation modeling (SEM) method.

The study identified four critical factors that influence the government’s decision to trust the private sector in public-private-partnership (PPP) projects. All the four factors have a positively correlated impact on the government’s trust decision-making. The structural equation path analysis shows that the most important factor affecting the government’s trust decision-making is the trustee’s (private sector) trustworthy characteristics, and the path coefficient is 0.92. The path coefficients of risk perception and the trustor’s trust tendency are 0.83 and 0.74, respectively. The influence of the legal system environment on government trust decision-making is moderate, with a path coefficient of 0.68.

This paper contributes to the literature in two aspects. First, the factors influencing decision-making to government trust in the private sector in PPP projects have been identified. Second, a comprehensive view of the mechanism of government trust in the private sector in PPP projects has been theorized by the SEM method.

This study focuses on ratcheting and budget behavior in nonprofit museums. Specifically, the authors examine how performance compared with the budget affects future revenue budgets, and how this differs from the extant literature focused on for-profit organizations. The study focuses specifically on the relationship between museums and their sources of public funding and how this affects how museums prepare budgets.

Based on four years of data covering 97 state-subsidized Danish museums, the authors analyze budget ratcheting using least absolute deviation (LAD) estimations in the form of median regressions.

The authors find that when actual revenue from admission charges is below the budget, the decrease in the following year's budget is greater than the increase in the following year's budget when actual revenue from admission charges is above the budget (i.e. the authors find asymmetrical ratcheting).

The findings are based on a specific setting (Danish museums), and the results may not be generalizable to other settings.

This study provides insights into the museum sector and other sectors with similar characteristics and contributes to understanding the differences between museums and for-profit organizations when it comes to budgeting. As private-sector management practices are gaining ground in the museum sector, it is important to learn more about budgeting-related issues in this sector.

The asymmetrical ratcheting the authors find is the opposite of ratcheting typically found in for-profit organizations. The authors attribute the results to the incentive conflict between museums and their public funding sources. The authors point to the museums' dependence on public funding as an explanation for the results and, thereby, extend the knowledge on ratcheting to organizations with different characteristics than traditional, for-profit organizations.

The purpose of this paper is to test the impact of selected characteristics of jobseekers on employers’ decisions regarding potential hires (direct and probabilistic signals). The main focus of the study is to test the impact of jobseekers’ participation in selected active labour market programmes on employers’ hiring decisions for three positions: unskilled worker, skilled worker and administrative employee. Other characteristics tested include age, gender, presence of children in the household, state of health, experience of short- and long-term unemployment and indebtedness.

This study analyses data from a representative survey of employers with five or more employees in the Czech Republic. The survey was conducted in December 2020 using stratified random sampling, combining online questionnaires and personal interviews. The study includes 1,040 employers and uses the factorial survey experiment (FSE) design.

The results of the FSE suggest that the perceived positive impact of completing one of the activation programmes depends on the position for which the candidate is being recruited. While for the unskilled job category, the completion of any of the tested schemes (training, subsidised jobs or public works) had a positive effect; for the skilled job category, only the training and subsidised jobs schemes had a positive effect; and for the administrative job category, public works programme even had a negative effect.

A somewhat limiting factor in the context of this study seems to be the definitions of the positions tested (unskilled and skilled workers and administrative staff). The decision-making of the respondents was somewhat restricted by such broadly defined categories. Typically, studies with FSE designs have a focus on a specific sector of the economy, which allows for a better definition of the positions or jobs under test. The relationship between position and the impact of individual characteristics is clearly a matter for further research.

The results of the study confirm that completion of the activation programme, as well as other candidate characteristics, constitute differentiating signals for employers that influence their hiring decisions. At the same time, there is evidence that the training programme and the subsidised jobs programme are effective in terms of increasing participants’ chances of employment.

The demand side should be included in the evaluation of activation policies. The design of the FSE provides an appropriate way to test the impact of activation measures on the decision-making of employers.