Search results

This study aims to integrate the resource-based view (RBV) with other theories that consider external factors necessary to respond successfully to dynamic and uncertain entrepreneurial business conditions.

The paper introduces an multi-criteria decision-making (MCDM) approach, utilizing the axial-distance-based aggregated measurement (ADAM) method with weights determined by the preference selection index (PSI) method, to rank eight European countries based on the Global Entrepreneurship Monitor (GEM) data. Additionally, the paper extends the existing entrepreneurial ecosystem taxonomy (EET), offering an additional classification.

The performed analysis emphasizes the importance and necessity of involving different dimensions of EE in assessing the countries' entrepreneurship performance, which facilitates creating adequate policy measures.

The crucial limitations are assessments based only on the GEM data from a particular period, possibly leading to a certain bias. Future research should involve data from various resources to increase the results' reliability.

The ranking results and country classification obtained using the ADAM-based approach and two distinct taxonomies served as the basis for formulating tailored policy recommendations, aiming to formulate tailored policy implications for increasing the number of new entrepreneurs and improving innovativeness, sustainability and internationalization of existing entrepreneurs for each group of countries.

This paper aims to address the imperative of establishing adaptive sustainable supply chain management (SSCM) within the context of export food supply chains (EFSC) in Jordan, with potential global applicability. The research introduces a new conceptual framework validated through the analytic hierarchy process (AHP), prioritizing critical factors based on five expert opinions. The practical and managerial outcomes emphasize achieving sustainable supply chain performance through quality-driven sustainability (QDS), encapsulated in a practical framework (SSCQM). Employing the concept of QDS, this study aims to develop a novel decision framework for Sustainable Supply Chain Quality Management (SSCQM).

Conducted as an empirical qualitative study in Jordan, the research employs a systematic literature review to identify research gaps and establish the initial conceptual framework. A pilot case is subsequently conducted to refine the framework, followed by Case Studies of four Triads, elucidating network relationships between suppliers, manufacturers and customers. A total of 32 semi-structured interviews, complemented by observations, tours and document analysis, individually explored each case during the exploratory stage. Cross-analysis of the four cases at the explanatory stage provides empirical insights, and data triangulation, literature review and validation using NVivo enhance the robustness of the findings.

The amalgamation of the three perspectives, when treated individually, results in the integrated category of QDS influencing sustainability (SUST) performance, evident in economic, environmental and social dimensions. Various sustainable initiatives have emerged through the relationships within the Triad, comprising a company, supplier and customer in the supply chain and its broader environment, including society, aiming for enhanced sustainable development and SUST performance. Recognizing the urgency of Supply Chain Management (SCM) in the Middle East, where global supply chains are susceptible to disruptions leading to food shortages and insecurity, this research investigates the state of EFSC in the export food industry in Jordan. The novel decision (SSCQM) framework equips managers and policymakers with knowledge and practices applicable to focal actors in Triads within their EFSCs, particularly in developing countries, thereby contributing to enhancing the export food industry’s sustainability.

This research provides empirical and contextual justifications for the supply chain-quality model (SSCQM) that advocates for business organizations how a desirable, sizeable and significant outcome/shock can be triggered via embedding quality elements in an international supply chain specifically in Jordan. The research also offers significant implications for practising supply chain experts in terms of how they can effectively utilize the supply chain quality to align other players in the supply chain, revenue potential, customer retainability and employee retention to achieve superior organizational performance. The research selectively encompasses three key perspectives of supply chain networks (SCN), total quality management (TQM) and SUST to elucidate the essence of SCM.

This research contributes towards filling the gap as a lack of empirical research.

Although digital transformation (DT) has emerged as an important phenomenon for both research and practices, the influences remain inconclusive and inadequate. The emerging artificial intelligence (AI) technologies further complicate the understanding and practices of DT while understudied yet. To address these concerns, this study takes a process perspective to empirically investigate when and how digital-intelligence transformation can improve firm performance, aiming to enrich the literature on digital-intelligence transformation and strategic information systems (IS) field.

Drawing on the dynamic capability view and business agility, we took a process perspective to conceptualize and empirically examine the influence of digital-intelligence transformation and the process characteristics. Taking a continuous panel dataset of listed Chinese firms covering 2007 to 2020, we investigated digital-intelligence transformation’s effect on firm performance and the moderating roles of three strategic aspects: pace, scope and rhythm.

This study found that digital-intelligence transformation positively affects firm performance and is moderated by the characteristics of transformation processes (i.e. pace, scope and rhythm). Specifically, the high-paced and rhythmic transformation processes facilitate the positive relationship, while the large scope undermines the benefits of transformation. These relationships hold across various endogeneity and heterogeneity analyses.

Our findings provide valuable implications for digital-intelligence transformation and strategic IS field. First, this study enriches existing literature on digital-intelligence transformation by empirically investigating the influence from a process perspective. Moreover, this study provides insights into a comprehensive understanding of the complexity of digital-intelligence transformation and the influences of AI. Finally, this study provides practical implications on how to make digital-intelligence transformation to benefit firm performance.

In recent years patents have become a very popular data source for forecasting technological changes. However, since a vast amount of patents are “worthless” (Moore, 2005), there is a need to identify the promising ones. For this purpose, previous approaches have mainly used bibliographic data, thus neglecting the benefits of textual data, such as instant accessibility at patent disclosure. To leverage these benefits, this study aims to develop an approach that uses textual patent data for predicting promising patents.

For the identification of promising patents, the authors propose a novel approach which combines link prediction with textual patent data. Thereby the authors are able to predict the emergence of hitherto unmentioned bigrams. By mapping these future bigrams to recent patents, the authors are able to distinguish between promising and nonpromising patents. To validate this approach, the authors apply the methodology to the case example of camera technology.

The authors identify stochastic gradient descent as a suitable algorithm with both a receiver operating characteristic area under curve score and a positive predictive value of 78%, which outperforms chance by a factor of two. In addition, the authors present promising camera patents for diverse application fields, such as cameras for surgical systems, cameras for rearview vision systems in vehicles or light amplification by stimulated emission of radiation detection and ranging cameras for three-dimensional imaging.

This study contributes in at least three directions to scholarship. First, the authors introduce a novel approach by combining link prediction with textual patent analysis and, in this way, leverage the benefits of both worlds. Second, the authors add to all theories that regard novel technologies as a recombination of existing technologies in presenting word combinations from textual data as a suitable instrument for revealing recombination in patents. And third, the approach can be used by scholars as a complementary or even integrative tool with conventional forecasting methods like the Delphi technique or Scenario planning.

At least three practical implications arise from the study. First, incumbent firms of a technology branch can use this approach as an early-warning system to identify technological change and to identify opportunities related to their company’s technological competence and provide inspiration for new ideas. Second, companies seeking to tap into new markets may also be interested in the approach as managers could anticipate whether their company’s technological competences are in line with upcoming trends. Third, the approach may be used as a supportive tool for various purposes, such as investment decisions or technology life cycle analysis.

The approach introduces textual patent data as suitable means for forecasting activities. As the statistical validation reveals, the promising patents identified by the approach are cited significantly more often than patents with less promising prospects.

This study aims to investigate corporate anti-corruption disclosure (ACD) strategies during the regulative debate surrounding the European Directive 2014/95/EU which for the first time regulated ACD in Europe. By using a legitimacy framework, it assesses whether companies improved proactively their voluntary ACD during the transposition phase to address potential regulatory changes. Moreover, it investigates how organizational and institutional factors influence companies’ reaction.

This paper hand-collected ACD data (quantity, scope, quality and transparency) from non-financial reports for the years 2010–2015 for a set of 56 (28 EU and 28 non-EU) companies (336 firm-years observations). The study applies difference-in-difference analysis to assess the effects of the debate. Moreover, it tests the association of ACD with organizational and institutional attributes.

The study shows that EU-companies are proactively changing their disclosures. The response is positively influenced by industry exposure to corruption-risks and by lower government corruption, while self-reported negative disclosure impacts negatively. Further, lower government corruption increases the effects of industry exposure to corruption-risks. However, the impacts vary with the disclosure metric.

Besides reinforcing legitimacy as a driving-force in shaping ACD during the transition phase to a regulated context, the paper integrates traditional legitimacy arguments with insights related to the institutional context. This contributes to improving the understanding of the empirical setting where the production of regulation occurs and can support future regulative processes.

Although a regulatory framework was established in Malaysia to govern practising property managers, the satisfaction level on residential property management remains low. This unfortunate situation necessitates a review of property managers’ job scope and their current standards of practice. Hence, this study aims to investigate the correlation between the performance of property managers in residential property management job scope and resident satisfaction.

The scope of work in property management services was first identified through a review of existing research and literature on property management. Subsequently, a survey questionnaire was administered, and the data collected was analysed to determine the relationship between the performance of the scope of work in residential building management and resident satisfaction. The research data was obtained from occupiers of residential properties and the findings formed the basis for research with an objective to enhance current property management practice.

Residential buildings represent the major building stocks of the country. The research showed that a majority (7 out of 9) of the identified scope of work significantly influence and affect resident satisfaction. Additionally, the logistic regression analysis outcome further confirms that the performance of maintenance management is a significant predictor of resident satisfaction.

This research identifies the critical scope of work in property management services which affects resident satisfaction. It also suggests various recommendations to improve property management services to achieve a higher level of resident satisfaction.

Collaboration in agricultural value chains (AVCs) has the potential to increase smallholders’ participation in international value chains and increase their benefits from participation. This scoping review explores existing collaboration models among stakeholders of AVCs in developing countries, examines enablers and constraints of collaboration and identifies policy gaps.

We systematically searched three databases, CAB Abstracts, Econlit (EBSCO) and Agricola, for studies published between 2005 and 2023 and included 59 relevant studies on AVC collaboration.

The primary motivations for collaboration are to enhance market access and improve product quality. Key outcomes of collaboration include improvements in farmers’ welfare, market participation and increased production; only a few studies consider improved risk management as an important outcome. Robust support from government and non-governmental entities is a primary enabler of collaboration. Conversely, conflicts of interest among stakeholders and resource limitations constrain collaboration possibilities. Collaboration involving high-value crops prioritizes income increases, whereas collaboration involving staple crops focuses on improving household food security.

This study may have publication bias as unsuccessful instances of collaboration are less likely to be published.

This study is unique in highlighting collaboration models’ characteristics and identifying AVC policy and programmatic areas where private firms, farmers’ groups, local governments and donor agencies can contribute.

The literature on unethical pro-organizational behavior (UPOB) has experienced significant growth in the past decade. However, there is limited research on the effects of organizational, team and malleable individual factors on UPOB. It is also necessary to explore its adverse effects for theoretical advancement and to uncover unexplored opportunities. This study aims to systematically examine the existing body of literature on UPOB, providing thorough theoretical, contextual and methodological insights.

Using the preferred reporting items for systematic reviews and meta-analysis technique, the authors identified 43 articles on UPOB from journals included in the ABDC-2019 list. The authors conducted an analysis of the identified articles and categorized them using a modified version of Paul and Rosado-Serrano’s (2019) TCCM framework.

Existing literature primarily focuses on attitudinal and contextual antecedents of UPOB, neglecting individual differences and their consequences. The review suggests that certain desired employee attitudes may also lead to UPOB. In addition, the study highlights underutilization of established behavioral theories, emphasizing the need for a more inclusive theoretical framework. The exploration identifies research gaps, including in multidisciplinary and transdisciplinary studies, aiming to broaden the research scope in this field.

The study highlights the need for a more comprehensive theoretical framework to understand UPOB.

It cautions organizations fostering positive employee attitudes, such as job satisfaction, workplace spirituality and organizational commitment, as these may inadvertently promote UPOB.

Socially, the paper highlights how engaging in UPOB affects the lives of involved employees.

This paper’s originality arises from its methodical review and categorization of prior research on UPOB using a distinctive, multidisciplinary research framework.

This paper aims to provide scholars with a deep understanding of the field through the identification of strengths and weaknesses in the literature and support decision-makers in the development of new practices in local risk management based on scientific data. The specific question in this review asks: what are the drivers and barriers to local risk management?

This paper provides an overview of the scientific literature produce over the past 20 years of the divers and barriers to local risk management. This paper presents a scoping review of peer-reviewed articles published between 2000 and 2019 inclusively in the fields of public policy and public administration.

This paper makes three main observations regarding the state of the literature. First, this paper finds that scholars mainly focus on single risk and certain regions of the world. Second, there is multiple approached used by the literature to study risk management at the local level. Third, little attention is given to the political context in which local risk management takes place.

This paper is a complete literature review of more than 500 peer-reviewed articles published in academic journals regarding risk prevention policies over the past two decades. This paper analyzed the main findings of the current literature to provide a general view of the scholarship and improve the collective understanding of risk management at the local level by providing future research avenues.

The purpose of this paper is to show the benefits of bridging the gap between supply chain management (SCM) and political philosophy to challenge the underlying assumptions about SCM concepts and open doors to novel theory building.

A thought experiment is conducted to illustrate how the two philosophers Niccolò Machiavelli and Jürgen Habermas would tackle sustainability issues in coffee supply chains from a research perspective. The thought experiment is carried out using data from 30 semi-structured interviews with actors from the coffee industry. Supplementing the thought experiment with empirical insights allows for a deeper understanding of supply chain dynamics and how these are impacted by the application of the philosophical viewpoints.

The research stresses the importance of SCM scholars being aware of the underlying assumptions of their research, as these have a remarkable impact on theory building. A combination of empirical insights and philosophical understandings makes it possible to reflect on the underlying concepts of SCM, providing suggestions for reimagining SCM.

The contribution of the research is twofold. First, the paper presents an original view on SCM, as the thought experiment is introduced as an approach to better understand SCM concepts. By challenging the underlying assumptions with political philosophy, researchers will be better equipped to address grand challenges in the twenty-first century. Second, this is exemplified by the case study of the coffee supply chain, which provides the reader with insight into the dynamics of supply chains with prevalent power differences.