Propositions For Future Research Research Articles

Evaluating ChatGPT-4’s historical accuracy: a case study on the origins of SWOT analysis

In this study we test ChatGPT-4’s ability to provide accurate information about the origins and evolution of SWOT analysis, perhaps the most widely used strategy tool in practice worldwide. ChatGPT-4 is tested for historical accuracy and hallucinations. The API is prompted using a Python script with a series of structured questions from an Excel file and the results are recorded in another Excel file and rated on a binary scale. Our findings present a nuanced view of ChatGPT-4’s capabilities. We observe that while ChatGPT-4 demonstrates a high level of proficiency in describing and outlining the general concept of SWOT analysis, there are notable discrepancies when it comes to detailing its origins and evolution. These inaccuracies range from minor factual errors to more serious hallucinations that deviate from evidence in scholarly publications. However, we also find that ChatGPT-4 comes up with spontaneous historically accurate facts. Our interpretation of the result is that ChatGPT is largely trained on easily available websites and to a very limited extent has been trained on scholarly publications on SWOT analysis, especially when these are behind a paywall. We conclude with four propositions for future research.

Sociomateriality as a theoretical lens for understanding digital platforms: Integration of architectural and managerial perspectives.

Digital platforms research is divided into two streams namely, the architectural/information technology stream, and the management/economics stream. Despite several calls to merge them, research efforts remain limited. Examining digital platforms’ architecture can provide valuable insights into the management of platform organizations, but management scholars have been inattentive to the "digitality" inherent in platforms, resulting in a research gap. This conceptual work addresses that gap by showing how three types of digital architectures (viz. Ancillary, Additive, and Autonomous) influence four types of value-offerings of a platform (viz. Applications, Physical products, Services, and Content) and their implications for the engagement of users and complementors in the platform’s business model. Using sociomateriality theory, it shows how the sociomaterial properties of digital architectures (represented by their “openness” and “generativity”) result in three distinct architectural roles that have significant implications for a platform’s management of four different value-offerings. In doing so, it uncovers a significant relationship between digital architectures (i.e., I.T.) and business models (i.e., Management), thereby identifying the connection between the two diverse platform research streams and introducing a framework for management scholars to examine the “digitality” of platforms. More importantly, it reveals the critical role of a platform’s digital architecture in determining the products/services, business models and governance mechanisms for a platform business, and develops several propositions for future research.

Reducing food loss through sustainable business models and agricultural innovation systems

Purpose This study aims to explore how sustainable business models (SBM) can be developed within agri-innovation systems (AIS) and emphasize an integration of the two with a systemic understanding for reducing food loss and value loss in postharvest agri-food supply chain. Design/methodology/approach This study conducted longitudinal qualitative research in a developing country with food loss challenges in the postharvest supply chain. This study collected data through multiple rounds of fieldwork, interviews and focus groups over four years. Thematic analysis and “sensemaking” were used for inductive data analysis to generate rich contextual knowledge by drawing upon the lived realities of the agri-food supply chain actors. Findings First, this study finds that the value losses are varied in the supply chain, encompassing production value, intrinsic value, extrinsic value, market value, institutional value and future food value. This happens through two cumulative effects including multiplier losses, where losses in one model cascade into others, amplifying their impact and stacking losses, where the absence of data stacks or infrastructure pools hampers the realisation of food value. Thereafter, this study proposes four strategies for moving from the loss-incurring current business model to a networked SBM for mitigating losses. This emphasises the need to redefine ownership as stewardship, enable formal and informal beneficiary identification, strengthen value addition and build capacities for empowering communities to benefit from networked SBM with AIS initiatives. Finally, this study puts forth ten propositions for future research in aligning AIS with networked SBM. Originality/value This study contributes to understanding the interplay between AIS and SBM; emphasising the integration of the two to effectively address food loss challenges in the early stages of agri-food supply chains. The identified strategies and research propositions provide implications for researchers and practitioners seeking to accelerate sustainable practices for reducing food loss and waste in agri-food supply chains.

A systematic literature review of Auditing Practices research landscape and future research propositions using bibliometric analysis

A systematic literature review of Auditing Practices research landscape and future research propositions using bibliometric analysis

Resource allocation in healthcare entrepreneurial ecosystems: the strategic role of entrepreneurial support organizations

PurposeInnovation management in the healthcare sector has undergone significant evolutions over the last decades. These evolutions have been investigated from a variety of perspectives: clusters, ecosystems of innovation, digital ecosystems and regional ecosystems, but the dynamics of networks have seldom been analyzed under the lenses of entrepreneurial ecosystems (EEs). As identified by Cao and Shi (2020), the literature is silent about the organization of resource allocation systems for network orchestration in EEs. This article investigates these elements in the healthcare sector. It discusses the strategic role played by entrepreneurial support organizations (ESOs) in resource allocation and elaborates on the distinction between sponsored and nonsponsored ESOs in EEs. ESOs are active in network orchestration. The literature explains that ESOs lift organizational, institutional and cultural barriers, and support entrepreneurs' access to cognitive and technological resources. However, allocation models are not yet discussed. Therefore, our research questions are as follows: What is the resource allocation model in healthcare-related EEs? What is the role played by sponsored and nonsponsored ESOs as regards resource allocation to support the emergence and development of EEs in the healthcare sector?Design/methodology/approachThe article offers an explanatory, exploratory, and theory-building investigation. The research design offers an abductive research protocol and multi-level analysis of seven (sponsored and nonsponsored) ESOs active in French healthcare ecosystems. Field research elaborates on semi-structured interviews collected between 2016 and 2022.FindingsThis article shows explicit complementarities between top-down and bottom-up resource allocation approaches supported by ESOs in the healthcare sector. Despite explicit originalities in each approach, no network orchestration model prevails. Multi-polar coordination is the rule. Entrepreneurs' access to critical technological and cognitive resources is based on resource allocation modalities that differ for sponsored versus nonsponsored ESOs. Emerging from field research, this research also shows that sponsored and nonsponsored ESOs manage their roles in different ways because they confront original issues about organizational legitimacy.Originality/valueBeyond the results listed above, the main originalities of the paper relate to the instantiation of multi-level analysis operated during field research and to the confrontation between sponsored versus nonsponsored ESOs in the domain of healthcare-related innovation management. This research shows that ESOs have practical relevance because they build original routes for resource allocation and network orchestration in EEs. Each ESO category (sponsored versus nonsponsored) provides original support for resource allocation. The ESO's legitimacy is inferred either from the sponsor or the services delivered to end-users. This research leads to propositions for future research and recommendations for practitioners: ESO managers, entrepreneurs, and policymakers.

Transformative experiences in tourism: where, when, with whom, and how does tourists' transformation occur?

Travel experiences have the potential to induce significant changes in tourists. This perspective paper aims to delineate directions for understanding the where, when, with whom, and why of transformative experiences in tourism, proposing future research directions across various dimensions of this multifaceted topic. The Transformative Experience Diagram is presented as a guide to addressing questions about where, when, with whom, and why travel transformation occurs. These propositions are grounded in a literature review spanning various disciplines, along with authors' quantitative and qualitative studies on the process of travel transformation and discussions with experts from diverse fields. Additional data, gathered from semi-structured interviews with people who previously had transformative travel experiences, inform the discussion on key questions of travel transformation and support the propositions for future research. In addition to conceptualizing the process of tourist transformation and proposing a framework for future research, this perspective paper has the potential to influence tourism management practices by guiding the design of experiences that trigger tourists' transformation, positively impacting personal growth, and enhancing the wellbeing of travelers.

Workplace Well-being From Development of Consciousness Through Purposeful Leadership

This paper constructs a model for enhancing workplace well-being (WB) from development of consciousness (DC), through purpose driven leadership (PL). A morally higher and ethical organizational purpose can help facilitate the accomplishment of higher purposes of the individuals, leading to greater engagement, fulfilment, and well-being in the organization. This paper reviews 20 theories of leadership based on the inner domain of leaders, 10 scales of WB, and five perspectives on PL, and relates them all to DC. It also describes V-theory of transcendence to support DC through multiple practices and help the leadership in developing their higher purpose. The paper finally presents some propositions for future research on the model, and implications for practice.

Masstige marketing in 2023 and beyond: An introduction to the special issue on masstige marketing

AbstractThe recent interest of marketers in adopting masstige strategy is a testimony to its potential. But, the dialogue on masstige among research community is not befitting its requirement. This special issue was launched to address this pressing demand towards masstige research. This special issue serves the masstige theory with eight rigorous research papers covering utmost relevant varied aspects of masstige. Papers in this special issue establish the relevance of masstige strategy for hitherto less explored aspects like services, old‐age consumers, short‐ and long‐term happiness, and so forth. Novel insights are offered along with future research propositions for masstige research. Our aim of this special issue is well addressed by generating and advancing interest of scholars towards masstige and thereby extending the current horizons of masstige research.

Unlock the potential: Unveiling the untapped possibilities of blockchain technology in revolutionizing Internet of medical things-based environments through systematic review and future research propositions

The Internet of Medical Things (IoMTs) has rapidly gained popularity recently, and the need for self-health assessment and the resulting reduction in treatment waiting periods have sped up the usage of IoMTs. Unfortunately, the growing usage of IoMTs has also brought up issues that have unintended effects, including a lack of data management, an unsafe network environment, privacy and security concerns. To address the problems with IoMT applications, distributed ledger technology, which forms the basis of blockchain technology (BCT), has emerged as a practical solution. The utility of BCT to support IoMT-based settings has been demonstrated by academic research. However, no analysis of the literature has been performed to comprehend BCT performance in IoMT scenarios. Therefore, the present study offers a thorough literature review of 182 studies on the use of BCT in an IoMT environment, drawn from 70 pioneering journals included in the WoS database. It also outlines recommendations for future research areas. This study adds to the body of literature in three main ways using a mix of bibliographic and content analysis. It starts out by outlining the structure of how BCT works in an IoMT setting. Secondly, it provides a roadmap that takes into account the factors that might aid in BCT proliferation in IoMT situations. Thirdly, the paper outlines the prerequisites for BCT's effective adoption and use in an IoMT environment. The implications of the recognized clusters and the factors influencing the properties and outcomes of BCT are covered in the article's conclusion. This is the first effort to investigate BCT's function within the context of the IoMT environment; this has become crucial since BCT has developed popularity in IoMT contexts. The article highlights many aspects that may help to improve comprehension of this important issue by utilizing the provided outline as a guide and identifying major knowledge gaps.

Learning design thinking well: organizing (introductory) workshops for optimal participant experience

A better understanding of the implementation of design thinking (DT) as a means to increase the assimilation of its practices is an important concern for R&D and innovation managers because more frequent use of DT practices raises organizational innovative capabilities. Introducing DT practices in workshops is a common, but also challenging approach to learning DT. Participants often have little to no prior encounters with the tools, techniques and principles used to practice DT and often mistrust or misinterpret the DT concept after a bad experience during the first exposure. For that reason, a suboptimal experience in introductory workshops can prevent or reduce the assimilation of DT practices. This study investigates how participant experience during first exposure as a vital precursor to the assimilation of DT practices can be improved via the organization of introductory workshops. We examine flow as the core experience measure in a quantitative‐inductive, quasi‐experimental study of two 3‐day DT workshops and compare periods with step‐by‐step acquisition of DT practices under guidance, periods of flexible, independent application of DT practices and periods of recovery. Our research employs a segmented time series analysis on more than 1100 real‐time observations collected with the experience sampling method (ESM). This study contributes to the scarce empirical research on improving the implementation of DT practices by indicating that a positive initial experience depends on workshop length, the logic of guided periods, the combination of guided and unguided periods, timing and type of recovery, as well as on team formation. Our results lead to five organizing principles, which can be used as testable propositions for future research, as well as in the planning and execution of (introductory) DT workshops.

The Impact of Intangible Capital on Firm Profitability in the Technology and Healthcare Sectors

The aim of the present study is to assess the impact of structural capital intensity and utilization on firm profitability in an international setting: the European Union countries, plus Norway, Switzerland and the United Kingdom. The indicators are calculated based on financial data downloaded from the Refinitiv Eikon database. Two financial ratios are used as proxies for the intensity and utilization of structural capital. The balanced panel consists of 625 companies from 25 countries, over the period from 2013 to 2022. The panel includes financial information on two industries that are considered innovation-oriented, namely technology and healthcare. Alternative model specifications are proposed to test the robustness of the basic model, including dynamic models (with lagged dependent variables). The present study indicates that a higher proportion of structural capital (intangible assets, excluding goodwill) is a negative factor for company profitability in the technology and healthcare sectors. There is no indication that a more intense use of intangible assets and more investments in R&D positively contribute to company profitability in the respective industries, for a large sample of listed companies. A higher proportion of intangible assets, as reported in financial statements, is possibly related to inefficiencies in the management of structural capital. The inverse relationship between profitability and investments in intangible assets is likely due to failures in cost accounting. Limitations and future research propositions are provided in the conclusions.

Power in the supply chain: a state-of-the-art literature review and propositions from the perspective of gender differences

Purpose This paper aims to examine the existing literature on firms’ power through the lens of the supply chain and highlights some gaps that could be covered by future research. Design/methodology/approach This study uses a systematic framework-based review combining the insights of the antecedents, decisions and outcomes (ADO) and theories, contexts and methods (TCM) frameworks. The review was carried out using a sample of 108 articles published between 1984 and 2022 in 25 prestigious journals. Findings The ADO framework maps out the state of the art of the antecedents of power (i.e. sources and types of firm power), the decision to use power and the effect that exercising power over other firms may have on firm performance and the quality of inter-firm relationships. In addition, this framework highlights factors that mediate or moderate the decision to exercise power and the factors that mediate or moderate the outcomes of exercising power or power asymmetry. The TCM framework provides insights into the theories, contexts (i.e. countries, industries, level of analysis and sources of data) and methods used by the existing literature. The content analysis using the aforementioned frameworks provides the basis to elaborate propositions for future research on power in the supply chain from the perspective of gender differences. Research limitations/implications This systematic literature review offers a comprehensive guide for researchers to understand the antecedents, decisions and outcomes of firm power in the supply chain, as well as the TCM used in the literature. The content analysis using frameworks provides a road map to investigate the proposed factors that might moderate the decision to exercise power and the outcome of exercising power or power asymmetry from the perspective of gender differences. In addition, based on content analysis, the authors make propositions about TCM that could be applied in future research. Practical implications From a practical perspective, this systematic literature review may help managers to better understand the sources and consequences of their firm’s power. This would allow managers to make better decisions when negotiating with their supply chain parties, which could potentially lead to better performance for their firms and the whole supply chain. Originality/value To the best of the authors’ knowledge, this study is the first to conduct a comprehensive systematic literature review of the different dimensions of firms’ power in the supply chain.

A study of key factors that influence and enable patient empowerment: A systems approach

AbstractGlobal crises have forced the healthcare sector to advance the way they practise. Patient empowerment has emerged as one of the solutions to face these challenges. Nevertheless, patient empowerment is still lacking for accepted conditions, making it difficult to effectively promote within the healthcare system. This study aims to systemically map the concept of patient empowerment using principles of systems thinking with the Boardman Soft Systems Methodology that enables a graphical visualization (i.e., Systemigrams). This includes levels of patient empowerment and their relationship with other concepts such as health literacy, health providers, self‐management, patient characteristics and healthcare outcomes. This study contributes to the literature by (a) articulating a set of conditions to enable patient empowerment, (b) identifying the key concept that might influence the level of patient empowerment and (c) providing guidance and propositions for future research that can promote and further study patient empowerment.

Teaching university students through technology-mediated experiential learning: Educators' perspectives and roles

Experiential learning (EL), the creation of knowledge through experience, has gained considerable importance in education in recent years. However, little is known about (1) how technology use, which has increased since the beginning of the COVID-19 pandemic, influences experiential learning and (2) the implications of these changes for educators and their teaching. Based on qualitative interviews, this study sheds light on how technology-mediated experiential learning (TMEL) draws implications for educators. In particular, we identified four areas in which technology-mediated experiential learning differs from traditional experiential learning that does not involve technology: process and progression, personal growth and skills, relationships and team experience, and outcomes and performance. All four areas present both positive and negative consequences, described in detail. We discuss how these findings have changed the educators’ roles. To this end, we derived three strategies from our data for educators to address these challenges, proposed a new model describing the expanded roles of educators, and derived propositions for future research.

Consumer responses to sustainable product branding strategies: a literature review and future research agenda

PurposeThis literature review aims to synthesise the research on various sustainable product branding activities and their impact on consumer responses to sustainable products and brands.Design/methodology/approachThis literature review is semi-systematic and can be classified as a domain-based review. The search strategy was systematic and well-defined.FindingsThe authors identified four themes: building brand equity, brand communication, product development and third-party labels and ratings, within the sustainable product branding activities that influence consumers' responses to sustainable products and brands. The study's findings revealed diverse, and not always favourable, types of behavioural and attitudinal responses from consumers. As for the positive consumer responses, the authors found positive attitudes towards brands, willingness to pay a premium price and positive word-of-mouth intentions. As for the negative consumer responses, the authors found perceived greenwashing, negative brand evaluations and resistance to sustainable products with unfamiliar third-party labels. Several future research propositions and implications for research and practice are discussed.Originality/valueDespite the large number of studies that look at sustainable branding strategies, there is a gap in terms of synthesising the knowledge on consumer responses to sustainable product branding strategies. This paper intends to fill this gap.

Artificial intelligence as an enabler of quick and effective production repurposing: an exploratory review and future research propositions

The outbreak of Covid-19 created disruptions in manufacturing operations. One of the most serious negative impacts is the shortage of critical medical supplies. Manufacturing firms faced pressure from governments to use their manufacturing capacity to repurpose their production for meeting the critical demand for necessary products. For this purpose, recent advancements in technology and artificial intelligence (AI) could act as response solutions to conquer the threats linked with repurposing manufacturing (RM). The study’s purpose is to investigate the significance of AI in RM through a systematic literature review (SLR). This study gathered around 453 articles from the SCOPUS database in the selected research field. Structural Topic Modelling (STM) was utilised to generate emerging research themes from the selected documents on AI in RM. In addition, to study the research trends in the field of AI in RM, a bibliometric analysis was undertaken using the R-package. The findings of the study showed that there is a vast scope for research in this area as the yearly global production of articles in this field is limited. However, it is an evolving field and many research collaborations were identified. The study proposes a comprehensive research framework and propositions for future research development.

Computer vision in manufacturing: a bibliometric analysis and future research propositions

Computer vision in manufacturing: a bibliometric analysis and future research propositions

First three decades of cause-related marketing: building a deeper understanding through bibliometric analysis

Purpose The recent development in the scholarship of cause-related marketing (CRM) highlights the growing popularity of this field of research. CRM is one of the forms of communicating corporate social responsibility (CSR). Although CSR is being extensively studied as a field of research, researchers have made limited efforts to review the development and progression of CRM research. Being an embryonic research field, a deeper understanding of the current state of CRM research and future research propositions is required. This study aims to fill this gap by providing a bibliometric review of the CRM research published in the Web of Science (WoS) database. Design/methodology/approach A bibliometric literature review has been conducted of the papers published in WoS database to map the field of research in CRM. Various techniques, namely, citation analysis, co-citation analysis, co-authorship analysis, co-occurrence analysis and bibliographic coupling have been incorporated, and analysis has been provided. Findings The findings highlight the important themes and research areas focused by CRM researchers. The study throws light on the important research avenues present in the field of CRM. Originality/value The findings offer both academic and practical implications. The present study is a novel study exploring the scholarship of CRM using the bibliometric analysis technique.

Research developments in sustainable supply chain management considering optimization and industry 4.0 techniques: a systematic review

PurposeThe literature that is presently available on sustainable supply chain management (SSCM) combining optimization and industry 4.0 techniques falls short in its depictions of the recent developments, budding pertinent areas and the importance of SSCM in the growth of industrial economies around the world. This article's main objective is to analyze current trends, highlight the latest initiatives and perform a meta-analysis of the literature that is currently accessible in the SSCM area with a special focus on optimization and industry 4.0 techniques. The paper also proposes a conceptual framework that will assist in illuminating how the ideas of optimization and industry 4.0 may contribute to realizing sustainability in supply chains.Design/methodology/approachThe proposed study systematically reviews 85 research publications published between 2010 and 2022 in referenced peer-reviewed journals in diverse fields, including engineering, business and management, services and healthcare. Numerous categories are considered throughout the examination of the literature, including year-wise publications, prominent journals, type of research design, concerned industry and research technique used.FindingsThe study demonstrates a deeper comprehension of the literature in the field and its evolution throughout numerous industry sectors, which is helpful for both practitioners and academics. The results from the content analysis highlight various future research opportunities in the domain.Originality/valueThis is one of the first research articles that have attempted to establish, analyze and highlight the current trends and initiatives in the SSCM domain from an optimization and industry 4.0 techniques viewpoint. The cluster-based future research propositions also enhance the novelty of the study.

Blockchain technology for sustainable supply chains: a network cluster analysis and future research propositions.

Achieving the sustainable goals of the United Nations requires improving supply chain sustainability (SSC). Blockchain technology (BCT) has attracted attention on a global level with the ability to transform supply chain management and sustainability efforts. Recognizing this, this study investigates how BCT plays a role in SSC. The current study looks into the importance of BCT in order to move supply networks towards sustainability by performing bibliometric analysis, and network cluster analysis. Through the literature review, the current literature was analyzed and future research directions were concluded. We begin our study by selecting 297 papers on the relevant subjects by applying various filters to the Web of Science (WoS) database. Influential individuals, journals, and organizations in this field were identified using bibliometric analysis. A network analysis was performed to identify influential co-author, and keywords, and for page rank, and cluster analysis. The network analysis was revealed ten distinct study clusters, and ten propositions were suggested from the analysis of these clusters. Additionally, a conceptual framework for the research was proposed, which can advise managers, practitioners, and researcher communities on the key trends and topics in this emerging research domain. Furthermore, to guide research scholars in this field, 33 future research directions were suggested.