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Digital entrepreneurship is the key to economic survival and the lantern of jobs in developing countries. The debate about the challenges facing early digital entrepreneurs (DEs) in developing countries is still ambiguous. This study attempts to fulfill the gap with an in-depth examination of Jordan.

Referring to a digital start-up database hosted by the Ministry of Digital Economy and Entrepreneurship in Jordan, the study interviews a random sample of (n = 45) early (less than one-year seniority) DEs. Thematic analysis is carried out facilitated by NVivo 20 software. E-Commerce, agriculture technology, data and artificial intelligence and entertainment were at the top of the interviewed start-ups.

Nine challenges were observed, critically analyzed and discussed. The challenges are (1) the lack of realistic funding in terms and guarantees; (2) the negligence of guidance and advisory of incubators and entrepreneurship centres; (3) the emergence of unexpected risks; (4) the stringent economic situation; (5) competition; (6) legal and legislative obstacles; (7) obstacles to accessing markets; (8) team management and finally (9) disorganization in the entrepreneurial environment. The study sets recommendations to support early DEs in their journey.

This study highlights the significant implications for aspiring DEs by focusing on some challenges that might face their start-ups such as institutional, technology and local dimensions of context and measures to develop the entrepreneurial and digital competencies. This includes sustainable funding, poor direct guidance and advisory, unexpected failures/risks, and economic obstacles. This study might be considered a road map for the decision-makers to build their strategies for eliminating the main barriers for early DEs and start-ups.

Although recent literature discussed the challenges of entrepreneurs in Jordan, this is the first that identifies early DEs’ challenges and uses 45% samples of the community.

Understanding consumer behavior across various contexts within marketing has long been the focus of studies. Although many models are used in explaining consumers' behavior, one of these is the Model of Goal-Directed Behavior (MGB), which is becoming prominent in explaining consumers' behavior in marketing. Given its popularity, prior research on MGB has shown inconsistent outcomes regarding the casual association of MGB variables. To overcome this, the authors have adopted a meta-analytic review of the marketing studies grounded on MGB theory in examining the consumers' behavior.

The study reviewed and analyzed 611 correlations from 27 studies with 31 samples (combined sample size of 9588) using a meta-analytic structural equation modeling (MASEM) technique.

The outcomes of MASEM confirm the significance of all the proposed relationships in the MGB model. However, the attitude has shown a strong influence on desire formation among all the proposed MGB relationships. Further, past buying experience and positive anticipated emotions strongly affect desire in developed nations compared to developing nations.

The current work has considered the possibility of various recommended moderators (e.g. culture, crisis situation, sample size, method of data collection, etc.); however, the study lacks to consider the dimension of gender dominance in it. Hence, future researchers should keep it in mind while conducting similar studies. Future scholars can also perform a comparative study on MGB across the domains and subdomains to know more insights.

The current work offers a better understanding of MGB application in marketing. As this work is one of the first meta-analyses on MGB application in marketing that also considers the effect of various moderators, it thus adds knowledge to the literature on MGB in marketing. It will also help the future researchers to understand MGB as a framework and its application in marketing.

Business models (BMs) are becoming increasingly crucial for value creation in the healthcare sector. The study explores the conceptualization and application of BM concepts within the healthcare sector and investigates their evolution in emerging economies (EEs) and developed economies (DEs). This study aims to uncover these two contexts' shared characteristics and unique variances through a comparative analysis.

The paper systematically investigates and consolidates the literature on healthcare by employing the antecedents, decisions and outcomes (ADO) framework and finally examines 71 shortlisted articles published between 2003 and 2022.

The recognition of the BM within healthcare is increasing, both in EEs and DEs. EEs prioritize value creation and capture through cost efficiency, while DEs focus on innovation. Key theories employed include a resource-based view, the network theory and the theory of innovation. Case studies are commonly used as a methodology. Further research is needed to explore the decisions and outcomes of BMs.

The study adopts stringent filtration and keyword criteria, potentially excluding relevant research. Future researchers are encouraged to broaden their selection criteria to encompass a more extensive range of relevant studies.

Beyond comparing and highlighting gaps in BMs between EEs and DEs, benchmarking DE's healthcare business models (HBMs) helps healthcare organizations in EEs align their practices, mitigate risks and establish efficient healthcare systems tailored to their specific contexts. The study adopts stringent filtration and keyword criteria, potentially excluding relevant research. Future researchers are encouraged to broaden their selection criteria to encompass a more extensive range of relevant studies.

The study analyzes HBMs using an SLR framework perspective and provides practical implications for academicians and practitioners to enhance their decision-making.

This paper aims to explore the strategic and evolving role of human resource management (HRM) directors within the context of underdeveloped institutional arrangements. The study focuses on India and conducts a comparative analysis of the roles of HRM directors in both multinational enterprises (MNEs) and domestic firms.

Survey-based data from the HRM directors of 252 enterprises were gathered for the comparative analysis, including both multinational and domestic enterprises.

HRM directors in MNEs lack the proficiency required to effectively fulfil their strategic role. In addition, there has been a notable shift in the responsibilities of HRM directors in MNEs, with increased emphasis on labour movements and trade union negotiations, as opposed to traditional human resource (HR) activities. This shift suggests that the role of HRM in MNEs operating in India has been influenced by local isomorphic forces, rather than following a “pendulum swing” between home and host country institutional pressures. The prevalence of informality in the Indian institutional arrangements may act as a strong counterforce to integrating the strategic agency of MNEs' home country HRM directors into the organizational structure. Despite facing resistance from the local institutional context, HRM directors in MNEs are responding with a pushback, prioritizing labour movements and trade union negotiations over core HRM activities.

The study highlights the broader implications for theory and practice, shedding light on the challenges faced by HRM directors in navigating incoherent institutional arrangements. It emphasizes the need for a deeper understanding of local forces in shaping HRM practices within multinational settings.

We contribute to the comparative HRM literature by elaborating on power struggles that HRM directors face amid the dichotomies of formal power and authority that are encoded in the organizational structure versus culturally contingent power that can be accrued from engaging in informality. We also highlight their engagement in prolonged institutional mediation and change, which serves as a compensatory mechanism for the institutional shortfalls they encounter within the context of emerging markets.

There has been a growing concern about employee silence (ES) within an organization. ES is associated with low creativity and innovativeness, unethical organizational practices, avoidable errors and safety-related issues. The purpose of this study is to evaluate the mediating role of psychological insecurity (PI) in the relationship between leaders’ bullying behaviour (LBB) on defensive (DES) and acquiescent employee silence (AES).

Data were collected among police personnel working in Plateau state Nigeria. In all, a total of 350 responses were found useable for further analysis, of the 398 copies of the questionnaire administered. A structural equation modelling technique was used via SMART-PLS version 3.3.3 to test the hypothesized relationship.

The findings of this study revealed that leaders’ bullying positively and significantly influences both AES and DES, and PI was found to mediate the relationship between LBB and AES and DES.

LBB among the police has been under-researched, even when there is clear evidence of its existence. PI explains the mechanism through which LBB influences officers' silence.

Reverse logistics (RL) is a type of supply chain management that moves goods from the end customer to the original manufacturer for reuse, remanufacturing and disposal purposes. Owing to growing environmental legislations and the development of new technologies in marketing, RL has attracted more significance among experts and academicians. Outsourcing RL practices to third-party reverse logistics provider (3PRLP) has been identified as one of the most important management strategies due to complexity of RL operations and the lack of available resource. Current sustainability trends have made 3PRLP assessment and selection process more complex. In order to select the 3PRLP, the existence of several aspects of sustainability motivates the experts to establish a new multi-criteria decision analysis (MCDA) approach.

With the growing complexity and high uncertainty of decision environments, the preference values of 3PRLPs are not always expressed with real numbers. As the generalized version of fuzzy set, intuitionistic fuzzy set and Fermatean fuzzy set, the theory of q-rung orthopair fuzzy set (q-ROFS) is used to permit decision experts (DEs) to their assessments in a larger space and to better cope with uncertain information. Given that the combined compromise solution (CoCoSo) is an innovative MCDA approach with higher degree of stability and reliability than several existing methods.

To exhibit the potentiality and applicability of the presented framework, a case study of S3PRLPs assessment is taken from q-rung orthopair fuzzy perspective. The assessment process consists of three sustainability aspects namely economic, environment and social dimensions related with a total of 14 criteria. Further, sensitivity and comparative analyses are made to display the solidity and strength of the presented approach. The results of this study approve that the presented methodology is more stable and efficient in comparison with other methods.

Thus, the objective of the study is to develop a hybrid decision-making methodology by combining CoCoSo method and discrimination measure with q-ROFS for selecting an appropriate sustainable 3PRLP (S3PRLP) candidate under uncertain environment. In the proposed method, a novel procedure is proposed to obtain the weights of DEs within q-ROFS context. To calculate the criteria weights, a new formula is presented based on discrimination measure, which provides more realistic weights. In this respect, a new discrimination measure is proposed for q-ROFSs.

Following the ‘Sarkozy’ era (2007–2012), France has engaged in ‘zero-tolerance’ policies, which have brought an increasing number of people into the criminal justice system (CJS). In an already extremely impoverished CJS, these policies have led to serious financial problems and have made an already existing prison overcrowding problem worse. Consequently, the CJS has gradually opted for a McDonald (Ritzer, 2019; Robinson, 2019) type of offender processing, whether in prosecutor-led procedures (representing roughly half of all penal procedures: Ministry of Justice, 2019) or in the sentencing phase (Danet, 2013). A similar trend has been found in probation and in prisoner release (in French: ‘sentences’ management).

The prison and probation services, which merged in 1999, have since then been in a position to benefit from the 1958 French Republic Constitution, which places the executive in a dominant position and notably allows it to draft the bills presented to a rather passive legislative power (Rousseau, 2007) and even to enjoy its own set of normative powers (‘autonomous decrees’ – Hamon & Troper, 2019). By way of law reforming (2009, 2014, and 2019 laws), the prison and probation services have thus embraced the McDonaldisation ethos. Their main obsession has been to early release as many prisoners as possible in order to free space and to accommodate more sentenced people. To do so, the prison services have created a series of so-called ‘simplified’ early release procedures, where prisoners are neither prepared for nor supported through release, where they are deprived of agency and where due process and attorney advice are removed. Behind a pretend rehabilitative discourse, the executive is only interested in efficiently flushing people out of prison; not about re-entry efficacy. As Ritzer (2019) points out, McDonaldisation often leads to counter-productive or absurd consequences. In the case of early release, the stubborn reality is that one cannot bypass actually doing the rehabilitative and re-entry work. I shall additionally argue that not everything truly qualifies as an early release measure (Ostermann, 2013). Only measures which respect prisoners’ agency prepare them for their release, which support them once they are in the community, which address their socio-psychological and criminogenic needs, and which are pronounced in the context of due process and defence rights truly qualify as such. As it is, French ‘simplified’ release procedures amount to McRe-entry and mass nothingness.

Assess the realistic impacts of implementing an Radio Frequency Identification (RFID)/Internet of Things (IoT) uniforms’ distribution system for managing medical personnel’s scrubs in operating rooms. The authors use a hybrid simulation framework to address the following objectives and challenges: a) reduce and control operating rooms’ level of inventory; b) stabilize scrubs’ demand and c) improve infection control and prevention of cross-contamination (through scrubs over manipulation and hoarding).

The authors adopt a Design Science approach. This methodological approach is used to design, develop, create and evaluate information technology “artifacts” (e.g. constructs, models, methods and instantiations) intended to solve organizational problems and make research contributions (Peffers et al., 2007). More specifically, the authors follow the Design Science Research Methodology process model which includes six steps: problem identification and motivation, definition of the objectives for a solution, design and development, demonstration, evaluation, and communication.

To assess the realistic impacts of implementing an RFID-IoT uniforms’ distribution system for managing medical personnel’s scrubs in operating rooms, the authors adopted a design science approach and initiated the research by documenting the business case and reviewed the existing literature to build a comparative analysis of existing uniforms’ distribution systems. The authors used a hybrid simulation model to assess the impact of three business cases: present mode of operation, implementing smart shelves or the smart distributors. The authors show that smart dispensers allow a greater control on scrubs’ utilization while eliminating the cross-contamination of the medical personnel.

Through this research study, the authors provide hospitals’ managers a scientific support for uniforms’ (scrubs) distribution process improvement. The authors use a hybrid simulation model to compare innovative solutions for uniforms’ distribution systems in the form of “smart cabinets” supported by Radio Frequency Identification (RFID)/Internet of Things (IoT) technologies and choose the most appropriate design for the hospital to meet two main challenges: a) inefficiency of uniform replenishment-distribution system and b) noncompliancy with infection control regulations caused by the distribution system.

From a methodological perspective, this paper addresses concerns from researchers calling quantitative research methods and using case-based research strategy to address IoT issues and assess the system in practice. From a broader point of view, this work confirms the predominant interest of RFID-IoT research work in the arena of supply chain management and logistics as the technology is used for tracking purpose and for monitoring applications. It is also one response to the research community suggesting that “hospitals should evaluate the medical effectiveness of the new technologies as well as the cost before adoption”.

With hybrid simulation techniques getting popular for systems improvement in multiple fields, this study aims to provide insight on the use of hybrid simulation to assess the effect of lean manufacturing (LM) techniques on manufacturing facilities and the transition of a mass production (MP) facility to incorporating LM techniques.

In this paper, the authors apply a hybrid simulation approach to improve an educational automotive assembly line and provide guidelines for implementing different LM techniques. Specifically, the authors describe the design, development, verification and validation of a hybrid discrete-event and agent-based simulation model of a LEGO® car assembly line to analyze, improve and assess the system’s performance. The simulation approach examines the base model (MP) and an alternative scenario (just-in-time [JIT] with Heijunka).

The hybrid simulation approach effectively models the facility. The alternative simulation scenario (implementing JIT and Heijunka LM techniques) improved all examined performance metrics. In more detail, the system’s lead time was reduced by 47.37%, the throughput increased by 5.99% and the work-in-progress for workstations decreased by up to 56.73%.

This novel hybrid simulation approach provides insight and can be potentially extrapolated to model other manufacturing facilities and evaluate transition scenarios from MP to LM.

This study aims to investigate which factors are associated with the willingness of employers to hire people with disability from the perspective of disability employment service providers. We also identify social marketing approaches that disability employment service providers consider to be most effective in increasing employer willingness to hire people with disability.

Using the framework of the theory of planned behavior, this study examines the association of attitude, subjective norms and perceived behavioral control with employer willingness to hire people with disability. The authors do this from the perspective of disability employment service providers, who are responsible for matching people with disability with suitable employment opportunities. The authors used a qualitative approach to data collection and conducted 30 in-depth interviews. Data analysis included deductive and inductive coding to develop the themes and subthemes.

Attitude, subjective norms and perceived behavioral control were all perceived to influence employers’ willingness to hire people with disability. However, the importance of each construct was perceived to differ by location and organization type. Three key social marketing approaches were perceived to be most effective in increasing employer willingness to hire people with disability: educational, relational and interactive. The educational intervention attempts to increase employers’ knowledge about disability, the relational approach aims to develop relationships within the community to strengthen relationships with employers and the interactive approach involves direct contact between employers and people with disability.

Theoretically, this study reveals perceived heterogeneity in terms of the theoretical constructs that are employer hiring decisions. Practically, results help disability employment service providers design social marketing strategies that are effective in reducing barriers and increasing employment for people with disability. Methodologically, this study adds a new perspective on employer willingness to hire people with disability – that of disability employment service providers – which avoids the social desirability bias found in many self-reported studies of employer attitudes and behavior.