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This paper aims to reveal the interdisciplinarity of information science (IS) from the perspective of the evolution of theory application.

Select eight representative IS journals as data sources, extract the theories mentioned in the full texts of the research papers and then measure annual interdisciplinarity of IS by conducting theory co-occurrence network analysis, diversity measure and evolution analysis.

As a young and vibrant discipline, IS has been continuously absorbing and internalizing external theoretical knowledge and thus formed a high degree of interdisciplinarity. With the continuous application of some kernel theories, the interdisciplinarity of IS appears to be decreasing and gradually converging into a few neighboring disciplines. Influenced by big data and artificial intelligence, the research paradigm of IS is shifting from a theory centered one to a technology centered one.

This study helps to understand the evolution of the interdisciplinarity of IS in the past 21 years. The main limitation is that the data were collected from eight journals indexed by the Social Sciences Citation Index and a small amount of theories might have been omitted.

This study identifies the kernel theories in IS research, measures the interdisciplinarity of IS based on the evolution of the co-occurrence network of theory source disciplines and reveals the paradigm shift being happening in IS.

Digital transformation using Industry 4.0 technologies can address various challenges in food supply chains (FSCs). However, the integration of emerging technologies to achieve digital transformation in FSCs is unclear. This study aims to establish how the digital transformation of FSCs can be achieved by adopting key technologies such as the Internet of Things (IoTs), cloud computing (CC) and big data analytics (BDA).

A systematic literature review (SLR) resulted in 57 articles from 2008 to 2022. Following descriptive and thematic analysis, a conceptual framework based on the diffusion of innovation (DOI) theory and the context-intervention-mechanism-outcome (CIMO) logic is established, along with avenues for future research.

The combination of DOI theory and CIMO logic provides the theoretical foundation for linking the general innovation process to the digital transformation process. A novel conceptual framework for achieving digital transformation in FSCs is developed from the initiation to implementation phases. Objectives and principles for digitally transforming FSCs are identified for the initiation phase. A four-layer technology implementation architecture is developed for the implementation phase, facilitating multiple applications for FSC digital transformation.

The study contributes to the development of theory on digital transformation in FSCs and offers managerial guidelines for accelerating the growth of the food industry using key Industry 4.0 emerging technologies. The proposed framework brings clarity into the “neglected” intermediate stage of data management between data collection and analysis. The study highlights the need for a balanced integration of IoT, CC and BDA as key Industry 4.0 technologies to achieve digital transformation successfully.

Not that long ago, half of all sales research was demonstrably if not unequivocally “atheoretical” (Williams and Plouffe, 2007). The foundational argument of this paper is that stronger theoretical development and application of theory in sales research is critical for the sales field to retain its relevancy. The purpose of this paper is to underscore that deliberate and cogent application of HWV (2018) is scant in the recent sales literature (over five years after publication in Journal of Marketing) for one or both of two reasons: scholars either do not understand the paper and/or are fearful of (mis)applying it.

More than simply introducing the articles to this special issue of the European Journal of Marketing (EJM), this paper also makes a number of important, overdue contributions. Although Hartmann, Wieland and Vargo’s JM (HWV, 2018) theoretical and conceptual paper has been well-received by the sales community, it has seen limited meaningful integration or application in sales research since its publication. This paper thus clarifies key misunderstandings and misperceptions with HWV (2018) so that sales researchers can more impactfully apply it to future sales research.

This paper identifies and then explains key aspects of service-dominant logic (S-D logic) and commonly misapplied and/or misunderstood aspects of HWV (2018) to guide future sales research. Ultimately, the overarching goal of this special issue of EJM is to focus a “spotlight” on sales theory development, while simultaneously demonstrating – through the five articles the special issue reports – that with purposeful effort, rich theoretical insights can effectively be applied to both “classic” and more current and emergent sales research topics.

Because HWV (2018) draw heavily upon S-D logic, it follows that some aspects of their article have been misinterpreted or misapplied by sales scholars. In particular, the critical concept of “crossing points” (both of the “thick” and “thin” variety) are explicated and detailed further, so as to afford sales researchers with better knowledge and insight on how to apply these key tools within HWV (2018).

The practical implications of this paper primarily revolve around further educating and clarifying for sales researchers “how” to better apply HWV (2018) to sales research, rather than simply citing it in passing. The paper also concludes by providing a summary and introduction to each of the five EJM special issue articles.

The originality and value of this paper and this special issue of the EJM is twofold. First, both this paper and the entire special issue itself emphasize the ongoing importance of advancing sales research through the meaningful and cogent application of theory. Second, the paper demonstrates that purposeful effort can lead to successful applications of HWV (2018) – as exhibited by the five articles in the EJM special issue – such that rich theoretical insights can be woven into both traditional and contemporary sales research topics.

This study is centered on the identification of the most appropriate Technology Adoption (TA) model for investigating the adoption of Industry 4.0 technologies within pharmaceutical and related enterprises. The aim is to facilitate a smooth transition to advanced technologies while concurrently achieving environmental sustainability.

Selection of a suitable TA theory is carried out using a hybrid multi-criteria decision-making (MCDM) approach incorporating PIvot Pairwise RElative Criteria Importance Assessment (PIPRECIA) and Fuzzy Measurement of alternatives and ranking according to Compromise solution (F-MARCOS) methods. A group of three experts is formulated for the ranking of criteria and alternatives based on those criteria.

The results indicate that out of all six TA models considered unified theory of acceptance and use of technology (UTAUT) model gets the highest utility function value, followed by the technical adoption model (TAM). Further, sensitivity analysis is conducted to confirm the validity of the MCDM model employed.

Challenging times like COVID-19 pointed out the importance of technology in the pharmaceutical and healthcare sectors. TA studies in this area can help in the identification of critical factors that can assist pharmaceutical firms in their efforts to embrace emerging technologies, enhance their outputs and increase their efficiency.

The novelty of this research lies in the fact that the utilization of a TA theory prior to its implementation has not been witnessed in existing scholarly literature. The utilization of a TA theory, specifically within the pharmaceutical industry, can assist enterprises in directing their attention toward pertinent factors when contemplating the implementation of emerging technologies and achieving sustainable development.

This paper aims to provide an objective and comprehensive evaluation of the understanding of the professional code of ethics of Indian Professional Management Accountants in Business (PMAIBs). It further delves into their individual, job and organizational characteristics as determinants of their understanding of the code.

This study relies on data from 247 responses to a survey-based questionnaire. Overall scores and sub-scores of the level of understanding of the code were calculated based on questions grounded in IESBA Code and ethical dilemmas. The drivers of these scores were then examined using one-way ANOVA, OLS, Probit and ordered probit regressions.

This study found considerable heterogeneity in Indian PMAIBs' understanding of their professional code of ethics and substantial scope for improvements. PMAIBs were stronger in Application, Resolution and Threats but weaker in Theory and Principles. Further, PMAIBs who had ranked themselves higher on code-familiarity, had higher moral maturity, hailed from western India and worked for foreign-listed, foreign-owned firms were found to have a higher level of understanding of the code. Highly educated elderly professionals and professionals with more responsibility areas exhibited a lower level of understanding of the code.

Insights from the study can help professional bodies, employers and academics identify and segment PMAIBs based on their ethics-training needs and customize interventions, which can benefit businesses and society through reduced corporate ethical failures. Considering the risk implications of Indian PMAIBs' inadequacies in understanding their code of ethics, the Indian professional accounting organization (ICAI-CMA) should mandate ethics in continuing professional development and expedite its long pending convergence with the IESBA code, a global benchmark for professional accountants.

This paper assesses the understanding of the professional code of ethics of PMAIBs, which is crucial yet amiss in the accounting ethics literature. While ethical decision-making is extensively researched, how well the professionals understand their code is yet unexplored. Research on PMAIBs, despite their unique ethical vulnerabilities and increasingly vital role in organizations, is still dormant. This study aims to fill these gaps by examining PMAIBs from India, an emerging economy under-represented in accounting ethics literature. India offers an important and rich setting for the study due to its large size, fast growth, deep integration with the global economy, high perceived corruption levels and poor ethical behavior of its firms.

The safety and reliability of high-speed trains rely on the structural integrity of their components and the dynamic performance of the entire vehicle system. This paper aims to define and substantiate the assessment of the structural integrity and dynamical integrity of high-speed trains in both theory and practice. The key principles and approaches will be proposed, and their applications to high-speed trains in China will be presented.

First, the structural integrity and dynamical integrity of high-speed trains are defined, and their relationship is introduced. Then, the principles for assessing the structural integrity of structural and dynamical components are presented and practical examples of gearboxes and dampers are provided. Finally, the principles and approaches for assessing the dynamical integrity of high-speed trains are presented and a novel operational assessment method is further presented.

Vehicle system dynamics is the core of the proposed framework that provides the loads and vibrations on train components and the dynamic performance of the entire vehicle system. For assessing the structural integrity of structural components, an open-loop analysis considering both normal and abnormal vehicle conditions is needed. For assessing the structural integrity of dynamical components, a closed-loop analysis involving the influence of wear and degradation on vehicle system dynamics is needed. The analysis of vehicle system dynamics should follow the principles of complete objects, conditions and indices. Numerical, experimental and operational approaches should be combined to achieve effective assessments.

The practical applications demonstrate that assessing the structural integrity and dynamical integrity of high-speed trains can support better control of critical defects, better lifespan management of train components and better maintenance decision-making for high-speed trains.

The view that dynamic capabilities theory can help explain how lean organizations improve has been put forward by scholars. However, there is still a lack of research on the matching relationship between the application of lean practice and the internal elements of enterprise organization from the perspective of dynamic capabilities. The purpose of this study is to validate the moderating effect of dynamic capabilities on the relationship between lean practices and operational performance.

This study used the method of survey and empirical research to collect sample data from 263 enterprises in China. Through literature review, this study put forward the moderating hypotheses around dynamic capabilities, lean practices and operation performance and used the method of regression analysis to validate these hypotheses.

The results showed that dynamic capabilities have a partially moderating effect on the application of lean practices. Specifically, dynamic capabilities have a significant moderating effect on the relationship between just-in-time, total quality management, total preventive maintenance and operational performance, while dynamic capabilities have no significant moderating effect on the relationship between human resource management and operational performance.

The research conclusion complements and enriches the lean practices literature from the perspective of dynamic capabilities. Existing studies mainly focus on the moderating role of external environmental factors, while there is a lack of empirical research on the role of dynamic capabilities in lean practices literature. The research results will help enterprises further understand the matching relationship between lean practices and dynamic capabilities and then improve the success of lean practices application.

This study aims to propose a facilitating methodology for the application of Fuzzy FMEA (Failure Mode and Effect Analysis), comparing the traditional approach with fuzzy variations, supported by a case application in the aeronautical sector.

Based on experts' opinions in risk analysis within the aeronautical sector, rules governing the relationship between severity, occurrence, detection and risk factor were defined. This served as input for developing a fuzzyfied FMEA tool using the Matlab Fuzzy Logic Toolbox. The tool was applied to the sealing process in a company within the aeronautical sector, using triangular and trapezoidal membership functions, and the results were compared with the traditional FMEA approach.

The results of the comparative application of traditional FMEA and fuzzyfied FMEA using triangular and trapezoidal functions have yielded valuable insights into risk analysis. The findings indicated that fuzzyfied FMEA maintained coherence with the traditional analysis in identifying higher-risk effects, aligning with the prioritization of critical failure modes. Additionally, fuzzyfied FMEA allowed for a more refined prioritization by accounting for variations in each variable through fuzzy rules, thereby improving the accuracy of risk analysis and providing a more realistic representation of potential hazards. The application of the developed fuzzyfied FMEA approach showed promise in enhancing risk assessment in the aeronautical sector by considering uncertainties and offering a more detailed and context-specific analysis compared to conventional FMEA.

This study emphasizes the potential of fuzzyfied FMEA in enhancing risk assessment by accurately identifying critical failure modes and providing a more realistic representation of potential hazards. The application case reveals that the proposed tool can be integrated with expert knowledge to improve decision-making processes and risk mitigation strategies within the aeronautical industry. Due to its straightforward approach, this facilitating methodology could also prove beneficial in other industrial sectors.

This paper presents the development and application of a facilitating methodology for implementing Fuzzy FMEA, comparing it with the traditional approach and incorporating variations using triangular and trapezoidal functions. This proposed methodology uses the Toolbox Fuzzy Logic of Matlab to create a fuzzyfied FMEA tool, enabling a more nuanced and context-specific risk analysis by considering uncertainties.

Construction industry (CI) has great prominence for the world economy, and it is expected that, with the use of the innovative technologies and approaches of Industry 4.0 (I4.0), the new industrial paradigm, construction can reach higher levels of productivity. This study aims to develop a model (readiness model) to assess the level of use of I4.0 technologies by the construction sector in Brazil and its most relevant applications.

The methodology used was bibliographic research, design-science research and a survey to validate the model, carried out with 162 companies, considered among the main ones in the sector in Brazil. The literature review revealed 13 technologies of I4.0 applied to construction; hence, the views of industry experts were based on these technologies.

The Digital Advancement Within CoNstruction (DAWN) readiness model was proposed, showing that among the 13 evaluated technologies of I4.0 and their applications, the Brazilian construction companies had a low level of utilization; both high and middle-income companies presented this low level of use; some technologies with a greater number of scientific publications were less used in practice in the Brazilian construction.

The originality and theoretical contribution are to present a readiness model to assess the level of use of I4.0 technologies and their most relevant applications in the CI in countries with an economy similar to Brazil’s, making it possible to measure the level of adoption of these technologies.