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Drawing on the literature of chief technology officer (CTO) and trusting relationship theory, the purpose of this paper is to investigate the impact of trusting relationship of CTO‐chief executive officer (CEO) on the CTO's participation in technology strategy, based on empirical study of Chinese high‐tech firms, in order to maximize CTO's strategic decision‐making role. Taking into account the weight of power in Chinese culture, this study takes CTO's power distribution as moderator, to study whether it strengthens the impact of trusting relationship of CTO‐CEO on CTO's participation in technology strategy.

CTOs of high‐tech firms from Shanghai, Jiangsu, Shenzhen, Zhejiang and Beijing are taken as samples. A questionnaire survey is conducted by using random sampling method.

The results show that trusting relationships of CTO‐CEO has a significant positive impact on CTO's participation in technology strategy. The two dimensions of trusting relationships of CTO‐CEO, cognitive trust and emotional trust also have a significant positive impact on CTO's participation in technology strategy and each dimension of CTO's power distribution has a significant moderating effect on partial paths.

The results are analyzed from both the data level and theoretical level. Conclusions on the management inspiration of CEO and CTO in high‐tech firms are drawn.

Artificial intelligence (AI)-based human capital management (HCM) software solutions represent a potentially effective way to leverage and streamline a bank’s human resources. However, despite the attractiveness of AI-based HCM solutions to improve banks’ effectiveness, to the best of the authors’ knowledge, there are no current studies that identify critical success factors (CSFs) for adopting AI-based HCM in the banking sector. This study aims to fill this gap by investigating CSFs for adopting AI-based HCM software solutions in the banking sector.

Full consistency method methodology and technology–organization–environment, economic and human framework are used for categorizing and ranking CSFs.

The study identifies the technological and environmental dimensions as the most and least important dimensions for AI-based HCM adoption in banks. Among specific CSFs, compatible technology facilities, sufficient privacy and security and relative advantages of technology over competing technologies were identified as the most important. Implementation of AI-based HCM solutions requires significant outlays of resources, both human and financial, for banks.

The study provides bank administrators a set of objective parameters and criterion to evaluate the feasibility of adopting a particular AI-based HCM solution in banks.

This paper aims to identify the dimensions of service quality in the case of hybrid services.

The service quality dimensions are identified using an exploratory factor analysis (EFA). Next the reliability and validity of the factors are established through confirmatory factor analysis (CFA) using AMOS.

The paper identifies nine service quality dimensions in the hybrid services – customer service, staff competence, reputation, price, tangibles, ease of subscription, technology security and information quality, technology convenience, and technology usage easiness and reliability.

The various dimensions of service quality should be viewed as the levers of improving perceived service quality in the minds of its current customers. Identifying the service quality dimensions in hybrid contexts can offer service providers valuable insights regarding on which aspects of the service to focus in order to improve customer satisfaction, loyalty, and commitment to the firm.

This paper introduces the concept of hybrid services, wherein a mix of technology and human interaction is used to produce and deliver services. Furthermore, since hybrid services have received little attention in the literature, the study addresses this gap by identifying a set of dimensions that are relevant for measuring service quality in hybrid contexts.

Based on the literature on technology readiness, online learning readiness, and mobile computer anxiety, the purpose of this paper is to develop and validate a mobile learning readiness (MLR) scale which can be used to assess individuals’ readiness to embrace m-learning systems.

Based on previous literature, this study conceptualizes the construct of MLR and generates an initial 55-item MLR scale. A total of 319 responses are collected from a three-month internet-based survey. Based on the sample data, this study provides an empirical validation of the MLR construct and its underlying dimensionality, and develops a generic MLR scale with desirable psychometric properties, including reliability, content validity, criterion-related validity, convergent validity, discriminant validity, and nomological validity.

This study develops and validates a 19-item MLR scale with three dimensions (i.e. m-learning self-efficacy, optimism, and self-directed learning). A tentative norm of the MLR scale is presented, and the scale’s theoretical and practical applications are also discussed.

This study is a pioneering effort to develop and validate a MLR scale. The results of this study are helpful to researchers in building m-learning theories and to educators in assessing and promoting individuals’ acceptance of m-learning systems.

The purpose of this paper is to contribute to a better understanding of internationalization patterns among speciality food small to medium‐sized enterprises (SMEs), investigating dimensions that may have a bearing on such patterns, using a series of case studies. In particular the investigation seeks to gain new insights about differences among companies in their internationalization patterns. These differences are examined in a framework which tries to relate three company‐level dimensions (market, technology and space) to internationalization patterns. The three dimensions are derived from the constructs developed by Storper and Salais, and Straete.

Two research questions (RQs) are formulated: Is there a relationship between the internationalization pace of speciality food SMEs and their technology, market, and space dimensions? Is there a relationship between the internationalization modes of speciality food SMEs and their technology, market, and space dimensions? A qualitative approach was adopted and cases from a broad dataset were used. The present research is an explorative research: it is intended to provide insights from which hypotheses might be developed.

This paper provides an empirical and conceptual contribution to the food internationalization debate. On the empirical side, it provides new evidence on speciality food internationalization, showing a rather diversified set of internationalization patterns, both in terms of pace and modes. On the conceptual side, it shows that the three dimensions of technology, market and space may help to enrich the comprehension of internationalization phenomena. While data collected seem not to provide insights from which hypotheses might be developed concerning RQ1, they seem on the contrary to provide useful insights concerning RQ2.

Limitations of the research generally relate to the use of a small sample. Future research should strive to obtain larger samples, develop a set of relevant finer‐grained hypotheses and test those using appropriate statistical techniques

Identifying the impact that the three dimensions might have on internationalization patterns and vice versa may help to focus on these specific elements when companies make their internationalization decisions. On the same line, public policy agencies could benefit from these first results for better clustering companies targeting their internationalization supporting initiatives.

The findings add to the limited body of knowledge on the key influences on internationalization patterns within the food sector.

Public and private sector organisations are widely endorsing digital transformation processes, but little is known about the level of digitalisation of an organisation as a whole. The purpose of this paper is to develop a framework to assess an organisation’s level of digital transformation as a whole, taking the field of museums as an exemplary case of application.

The framework draws upon a scoping literature review of studies examining dimensions, metrics and methods for the assessment of the digital transformation of organisations. The framework has been validated by applying it to a sample of 400 Italian museums and further interviews with museum directors.

The authors propose an assessment framework composed of five main dimensions: people, technology, process, customer and strategy and investment. These dimensions are further deployed in sub-dimensions measured through a set of questions. The weighted average of results per dimension and sub-dimension supported the development of a composite index of organisational digital readiness.

The developed framework contributes to the current debate on the measurement of an organisation’s level of digital transformation as a whole, and it can offer practitioners a managerial tool to assess the organisation’s digital readiness.

Industry 4.0 is one of the most emergent research topics attracting significant interest by researchers as well as practitioners. Many articles have been published with regards Industry 4.0; however, there is no research that clearly conceptualizes Industry 4.0 in the context of supply chain. This paper aims to propose the term “Supply Chain 4.0” together with a novel conceptual framework that captures the essence of Industry 4.0 within the supply chain context. As Industry 4.0 is inherently a revolution, and as revolutions are evolutionary, this research also aims to capture the evolution of Supply Chain 4.0 from maturity levels perspective to facilitate the formulation and development of Supply Chain 4.0 strategy.

Following a deductive research approach and a qualitative strategy, a systematic literature review (SLR) was adopted as the research method seeking to understand the relationships among supply chain, Industry 4.0 and maturity levels research. The three phases of the SLR process utilized are: planning, conducting and reporting. A concept-oriented technique was applied to the outputs of the SLR to obtain the key constructs that would facilitate the development of the conceptual Supply Chain 4.0 framework.

The SLR showed that there is limited research linking Industry 4.0 to supply chain. Nevertheless, it was possible to extract a set of thematic categories from the analysis of the articles which are referred to as constructs as they form the core of the conceptual Supply Chain 4.0 framework. These constructs are managerial and capability supporters, technology levers, processes performance requirements and strategic outcomes. Each of these constructs consists of a number of elements which are referred to as “dimensions” in this research and a total of 21 dimensions were identified during the SLR. The SLR also demonstrated that maturity propositions for Industry 4.0 are still embrionary and entirely missing in the context of supply chain. Hence, this research develops and proposes a maturity levels framework that is underpinned by the core constructs of Supply Chain 4.0 and the corresponding dimensions. As these proposed frameworks are conceptual, this research also identifies and proposes several research directions to help fortify the Supply Chain 4.0 concept.

This research argues that the frameworks are robust because the constructs and dimensions are grounded in the literature, thus demonstrating both theoretical and practical relevance and value. As Supply Chain 4.0 research is still in infancy, there is a range of open research questions suggested based on the frameworks that could serve as guides for researchers to further develop the Supply Chain 4.0 concept. Also, practitioners can use this framework to develop better understanding of Supply Chain 4.0 and be able to evaluate the maturity of their organizations. As the proposed frameworks are conceptual, they require further empirical research to validate them and obtain new insights.

The SLR demonstrated a clear gap in literature with regards to Industry 4.0 in the context of supply chain, and also in the context of Industry 4.0 maturity levels for supply chain. This research is unique as it formulates and introduces novel frameworks that close these gaps in literature. The value of this research lies in the fact that it makes significant contribution in terms of understanding of Supply Chain 4.0 with a clear set of constructs and dimensions that form Supply Chain 4.0, which provides the foundation for further work in this area.

According to the great importance of community health as well as the ever-increasing development of health technologies, the importance of designing an interactive model of factors affecting health technology assessment (HTA) can be highlighted. The purpose of designing and implementing the framework of health information system assessment is to ensure that the required accurate data which are necessary to measure the main health indicators are available. The purpose of this paper is to design an interactive model of factors affecting HTA.

This is a cross-sectional, descriptive-analytic study conducted in the Iran Ministry of Health and Medical Education in the second half of 2017. A sample of 60 experts and professionals working in the field of health technologies are selected using purposive and snowball sampling methods. Two researcher-made questionnaires are used to collect the required data. The collected data are analyzed using decision-making trial and evaluation laboratory (DEMATEL) and MATLAB R2013a.

The results showed that “Legal dimension,” “safety,” “Effectiveness” and “Social dimension” were the affecting factors and net causes, and “Current application,” “Knowledge of technology,” “Ethical dimension,” “Costs” and “Organizational dimension” were the affected factors and net effects in the interactive model. Furthermore, “Legal dimension” with the coordinates C: [1.88, 1.27] and “Ethical dimension” with the coordinates C: [1.75, −75] were known as the most affecting and most affected factors in the interactive model, respectively.

The DEMATEL model is an appropriate tool for managers and policy makers to structure and prioritize factors influencing the HTA. Policy makers and decision makers can use this model for identifying relationships among factors and prioritize them. Because health policy makers and managers have a major role in formulating the regulations and guidelines related to the HTA, they should pay more attention to the legal considerations in their decisions and use the management tools to move the available resources toward implementing and enforcing rules and guidelines related to the HTA.

Implementation is a key process in the effective development of Advanced Manufacturing Systems. Specifically, implementation should not be confused with installation of the technology for it involves change in companies on a much wider front than mere technological change. Change has to be pursued, not only in terms of technology, but also in terms of the associated organisational and business dimensions. Failure to do this can severely limit the impact and success of the application to the business in question. These three dimensions constitute conceptually different aspects of the technological innovation process, and in developing a normative implementation methodology for Advanced Manufacturing Systems drawn partly from extensive empirical work in manufacturing companies, it is useful to represent these as three orthogonal dimensions from which at least eight logical positions can be explored. An argument is presented therefore for the development of a strategy containing all three dimensions considered in the order: business first, technology and organisation afterwards, which aims to bring about radical change on a wide variety of fronts to support the effective implementation of Advanced Manufacturing Systems.

Using 12 case studies, the purpose of this paper is to investigate the use of business analysis techniques in BPR. Some techniques are used more than others depending on the fit between the technique and the problem. Other techniques are preferred due to their versatility, easy to use, and flexibility. Some are difficult to use requiring skills that analysts do not possess. Problem analysis, and business process analysis and activity elimination techniques are preferred for process improvement projects, and technology analysis for technology problems. Root cause analysis (RCA) and activity-based costing (ABC) are seldom used. RCA requires specific skills and ABC is only applicable for discrete business activities.

This is an exploratory case study analysis. The author analyzed 12 existing business reengineering (BR) case studies from the MIS literature. Cases include, but not limited to IBM Credit Union, Chase Manhattan Bank, Honeywell Corporation, and Cigna.

The author identified eight business analysis techniques used in business process reengineering. The author found that some techniques are preferred over others. Some possible reasons are related to the fit between the analysis technique and the problem situation, the ease of use-of-use of the chosen technique, and the versatility of the technique. Some BR projects require the use of several techniques, while others require just one. It appears that the problem complexity is correlated with the number of techniques required or used.

Small sample sizes are often subject to criticism about replication and generalizability of results. However, this research is a good starting point for expanding the sample to allow more generalizable results. Future research may investigate the deeper connections between reengineering and analysis techniques and the risks of using various techniques to diagnose problems in multiple dimensions. An investigation of fit between problems and techniques could be explored.

The author have a better idea which techniques are used more, which are more versatile, and which are difficult to use and why. Practitioners and academicians have a better understanding of the fit between technique and problem and how best to align them. It guides the selection of choosing a technique, and exposes potential problems. For example RCA requires knowledge of fishbone diagram construction and interpreting results. Unfamiliarity with the technique results in disaster and increases project risk. Understanding the issues helps to reduce project risk and increase project success, benefiting project teams, practitioners, and organizations.

Many aspects of BR have been studied but the contribution of this research is to investigate relationships between business analysis techniques and business areas, referred to as BR dimensions. The author try to find answers to the following questions: first, are business analysis techniques used for BR project, and is there evidence that BR affects one or more areas of the business? Second, are BR projects limited to a single dimension? Third, are some techniques better suited for diagnosing problems in specific dimensions and are some techniques more difficult to use than others, if so why?; are some techniques used more than others, if so why?