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Organizational technologies can be classified according to the roles they play as either commodity or strategic. Commodity technologies support common operations, while strategic technologies address perceived threats to competitiveness, often identified by strategic foresight. These must go through an adoption process before playing an effective role in strategy execution. The adoption process includes known activities, ranging from sourcing (itself from in-house development to turn-key acquisition) to operational integration. This paper aims to reveal strategic technology adoption risks that arise during strategy execution.

A gradually developed causal loop diagram model, supported by general literature, introduces three general classes of technology adoption risks: mismatched requirements, supplier dependence and unmanaged life cycles.

Rather than managed, these risks are incurred or avoided depending on decisions made during the adoption process.

Despite the scarce literature coverage for the approach, examples revealing the presence of adoption risks are nevertheless available in the well-documented history of enterprise resource planning (ERP).

Although ERP is presented as a general-purpose strategic technology, the unique business features of maritime container terminals pose serious challenges to its adoption, which provides additional support to the discussion and reinforces the conclusions.

The approach to identifying risks in strategic technology adoption departs from the current risk paradigm in two significant ways. First, it emphasizes policy decision-making rather than external events. Second, it views risks as systemic rather than occurring independently.

The purpose of this paper is to determine whether charismatic leadership strategies can be successfully implemented within structures, systems and tasks for social workers to increase case management successes, particularly client well-being, given that the six key charismatic leadership traits align with presented professionally bound ethical expectations.

A short generic qualitative review was done over fifteen publications, emphasizing the effects of charismatic leadership in domestic and foreign occupational domains.

Methodological, thematic and theoretical analyses show that charismatic leadership strategies are active in relevant social work domains with positive participant impacts.

The paper is intended to primarily investigate whether charismatic leadership is present in social work domains, and does not consider other leadership modalities.

High-quality reviews from the presented methodological investigations suggest that charismatic leadership is an effective leadership modality that should be considered into client-involved structures and systems.

We present configurational theorising as a novel approach to developing middle-range theory in two steps: (1) we illustrate configurational theorising as a new form of supply chain inquiry by connecting its philosophical assumptions with a methodological execution, and (2) we generate new insights underpinning a middle-range theory for supply chain resilience.

We synthesise information from a range of sources and invoke ‘critical realism” to suggest a five-phase configurational theorising roadmap to develop middle-range theory. We demonstrate this roadmap to explain supply chain resilience by analysing qualitative data from 22 organisations within the Australian food supply chain.

Coopetition and supply chain collaboration are necessary causal conditions, but they need to combine with either supply chain agility or multi-sourcing strategy to build supply chain resilience. Asymmetrical analyses showed that the simultaneous absence of supply chain collaboration, supply chain agility and multi-sourcing results in low supply chain resilience, but coopetition was indifferent to low supply chain resilience. Similarly, high supply chain resilience is possible with the non-presence of supply chain agility and multi-sourcing.

The configurational middle-range theorising roadmap presented and empirically tested in this paper constitutes a substantial advancement to both theory and the methodological domain.

This is the first attempt at developing a middle-range theory for supply chains by explicitly drawing on configurational theorising.

Critiques of international business (IB) have long pointed to the weaknesses in the understanding of context. This has ignited debate on the understanding of institutions and how they “matter” for IB. Yet how institutions matter ultimately depends on how IB applies institutional theory. It is argued that institutional-based research is dominated by a narrow set of approaches, largely overlooking institutional perspectives that account for institutional diversity. This paper aims to forward the argument that IB research should lend greater attention to comparing the topography of institutional configurations by bringing political economy “back in” to the IB domain.

Using principal components analysis and hierarchical cluster analysis, the authors provide IB with a taxonomy of capitalist institutional diversity which defines the landscape of political economies.

The authors show institutional diversity is characterised by a range of capitalist clusters and configuration arrangements, identifying four clusters with distinct modes of capitalism as well as specifying intra-cluster differences to propose nine varieties of capitalism. This paper allows IB scholars to lend closer attention to the institutional context within which firms operate. If the configurations of institutions “matter” for IB scholarship, then clearly, a quantitative blueprint to assess institutional diversity remains central to the momentum of such “institutional turn.”

This paper provides a comprehensive survey of institutional theory, serving as a valuable resource for the application of context within international business. Further, our taxonomy allows international business scholars to utilise a robust framework to examine the diverse institutional context within which firms operate, whilst extending to support the analysis of broader socioeconomic outcomes. This taxonomy therefore allows international business scholars to utilise a robust framework to examine the institutional context within which firms operate.

The paper investigates the pivotal role of storytelling as a pedagogical tool in tertiary education, specifically in the context of the practice-based doctoral framework in design disciplines. In such a doctoral model, storytelling assumes different meanings and nuances that open to a study in relation to the self-reflective process at the core of the learning paradigm.

The research methodology integrates a qualitative and participatory approach with visual and design-based methods through which the authors interact with primary sources (the body of work of PhD candidates) and relevant research literature.

Drawing on the expanding field of creative practice research, the research work evidences the emergence of storytelling as a research method and learning tool applied at different levels of the candidates' Doctor of Philosophy (PhD) journey and provides methodological insights into the practice-based doctoral training paradigm.

The paper demonstrates the role of storytelling as a learning tool and evidences the multiple levels that storytelling assumes over the course of a practice-based doctoral journey, integrating processual, operational and contextual dimensions.

This systematic literature review aims to explore the adoption, global acceptance and implementation of human resources (HR) analytics (HRA) by reviewing literature on the subject. HRA adoption can assist HR professionals in managing complex procedures and making strategic human resource management (SHRM) decisions more effectively. The study also aims to identify the applications of analytics in various disciplines of management.

The review is conducted using a domain-based structured literature review (SLR), emphasizing the diffusion of innovative thinking and the adoption process of HRA among early adopters. The philosophical stances are analyzed with the combination of research onion model and PRISMA protocol. Secondary data are gathered from published journals, books, case studies, conference proceedings, web pages and media stories as the primary source of information.

The study finds that skilled professionals and management assistance can significantly impact adoption intentions, enabling professionals to deal with analytics. The examples and analytical models provided by early adopters allow managers to manage complex processes and make SHRM decisions.

The study suggests that the lack of use of quantitative techniques is a key limitation and should be considered in future studies. Despite the rise in the number of research papers on HRA, its application in the workplace remains limited.

This research can assist managers in implementing HRA and help resolve complex and inefficient processes, making SHRM decisions.

This study adds to the existing body of knowledge on how HRA can aid a company's efficacy and performance and can be considered one of the first to link adoption and HRA.

Biotech companies stand as key actors in pharmaceutical innovation. The high risk and long timelines inherent with their R&D investments might hinder their access to funding, potentially stifling innovation. This study aims to explore into the appeal of biotech companies to capital market investors, whose financial backing could bolster the growth of the biotechnology sector.

This paper uses a dataset of 774 US publicly listed biotech firms to investigate their risk and return characteristics by comparing them to pharmaceutical firms and a sample of matched non-biotech R&D-intensive firms over the sample period 1980–2021. Tests show that the conclusions remain consistent across diverse methodological approaches.

The paper shows that biotech companies are riskier than the average firm in the market index but outperform on a risk-adjusted basis both the market and a matched group of R&D-intensive firms. This is particularly true for large capitalization biotech, which is also shown to provide a diversification benefit by reducing the downside risk in past crisis periods.

This paper provides insight relevant to the current debate about the overall performance of the biotech industry in terms of policy changes and their impact on small, early-stage biotech firms. While small and early-stage biotech firms are playing an increasing role in scientific innovation, this study confirms their greater vulnerability to financial risks and the importance of access to capital markets in enabling those companies to survive and evolve into larger biotech.

Organizational psychologists and human resource management (HRM) practitioners often have to select the “right fit” candidate by manually scouting data from various sources including job portals and social media. Given the constant pressure to lower the recruitment costs and the time taken to extend an offer to the right talent, the HR function has to inevitably adopt data analytics and machine learning for employee selection. This paper aims to propose the “Quality of Hire” concept for employee selection using the person-environment (P-E) fit theory and machine learning.

The authors demonstrate the aforementioned concept using a clustering algorithm, namely, partition around mediod (PAM). Based on a curated data set published by the IBM, the authors examine the dimensions of different P-E fits and determine how these dimensions can lead to selection of the “right fit” candidate by evaluating the outcome of PAM.

The authors propose a multi-level fit model rooted in the P-E theory, which can improve the quality of hire for an organization.

Theoretically, the authors contribute in the domain of quality of hire using a multi-level fit approach based on the P-E theory. Methodologically, the authors contribute in expanding the HR analytics landscape by implementing PAM algorithm in employee selection.

The proposed work is expected to present a useful case on the application of machine learning for practitioners in organizational psychology, HRM and data science.

This study examines the public participation in the implementation of the Historic Urban Landscape (HUL), a United Nations Educational, Scientific and Cultural Organization (UNESCO) approach for urban development. HUL has six Critical Steps and four Tools Categories relating to community engagement, knowledge and planning, regulatory system and financial instruments. The HUL public participation component has materialized variably across the adopting cities, challenged by the local implementation capacity. In response, we have singled out two research questions revolving around the participants’ characteristics and participation methods.

This study instrumentalizes case studies as a research methodology and thematic literature as a theoretical context. The HUL projects for Ballarat, Australia and Cuenca, Ecuador have been selected as sources of published information because they exhibit comparative differences in completing community engagement. We have compared the community engagement accounts of the two cities.

The Ballarat and Cuenca HUL project accounts point out to commonalities and variances in responding to the HUL public participation mandate. The findings for the participants’ characteristics involve project setting, participants categories and participants empowerment; the findings for the participation methods involve initial preparation, domestic and international expertise and public conversation.

The results of the study help define public participation practices in HUL project implementations. The results present an opportunity for city officials, HUL project planners and field administrators for making informed decisions particularly in relation to the two public participation domains, the participants’ characteristics and the engagement methods.

This study presents a systematic review of the literature on monetary policy and corporate investment together with bibliometric analysis.

This study selected 455 articles from databases, Scopus and Web of science and the papers are reviewed systematically to identify their theoretical and empirical contributions.

The results reveal that monetary policy can influence corporate investment. Post to the economic crisis (2008), there is an exponential growth in the number of publications. Berger, A., and Hubbard are the two prominent authors based on the highest citation score, whereas Marquez, R., and Vermuelen, P. are the two prolific authors, subject to their highest h-index. Journal of Banking & Finance was the top journal (total citations = 1482) and 5 publications.

This study positively contributes to the comprehensive understanding of corporate investment, monetary policy transmission and firm capital structure choices.

To the best of the author’s knowledge, this is the first study that conducts a systematic review of the influence of monetary policy on corporate investment.