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The purpose of this paper is to provide a conceptual understanding of Big Data practices in organizations, which will enable exploring the operational and strategic roles of Big Data in organizational performance.

Both academic and non-academic literature studies on Big Data were reviewed so as to capture what was known about Big Data practices. Qualitative interviews were conducted with firm executives about Big Data practices in their organizations. Both literature review and interview results were analyzed based on the dynamic capabilities perspective.

The analysis of the results suggests that Big Data capability develops when the resources parts of Big Data and the skill and competency parts are integrated and then grow into a dynamic capability.

This study contributes to the literature with the concept of Big Data capability that best characterizes Big Data practices in organizations. Validity of this concept should be tested in empirical studies.

The development of the concept of Big Data capability helps to fill a gap in the research literature that theoretical understanding of big data practices is lacking or needs to be updated. It motivates practitioners to develop this capability so as to create and maintain their strategic advantage.

The purpose of this study is to examine big data capability's impact on product improvement and explore supply chain dynamics including relationship building and knowledge sharing as important contribution to big data capability.

The research model is tested with survey data. Data analysis results empirically support the proposed model and the hypothesized relationships between the concepts.

First, the hypothesis testing results of this study show that big data capability directly enhances product improvement. Second, this study shows that supply chain relationship building and knowledge sharing are positively related to the development of big data capability.

In supply chain management, there are multiple factors, besides relationship building, that serve as conditioners to knowledge sharing's effect on product performance. We only examined the role of relationship building in this area.

Findings from this research encourage firms to take advantage of their supply chain resources to develop a big data capability that positively contributes to firm performance.

The contribution lies in that it brings to light this step that connects big data capabilities and market and financial performance, which is missing in prior research. This study contributes to the literature by identifying supply chain management activities, more specifically, supply chain relationship building and knowledge sharing, as antecedents to big data capability. This helps to extend this emergent enterprise of big data research to a new area and points to new directions for future research.

This paper aims to discuss the need for management control system for information security management that encapsulates the technical, formal and informal systems. This motivated the conceptualization of supply chain information security from a management controls perspective. Extant literature on information security mostly focused on technical security and managerial nuances in implementing and enforcing technical security through formal policies and quality standards at an organizational level. However, most of the security mechanisms are difficult to differentiate between businesses, and there is no one common platform to resolve the security issues pertaining to varied organizations in the supply chain.

The paper was conceptualized based on the review of literature pertaining to information security domain.

This study analyzed the need and importance of having a higher level of control above the already existing levels so as to cover the inter-organizational context. Also, it is suggested to have a management controls perspective for an all-encompassing coverage to the information security discipline in organizations that are in the global supply chain.

This paper have conceptualized the organizational and inter-organizational challenges that need to be addressed in the context of information security management. It would be difficult to contain the issues of information security management with the existing three levels of controls; hence, having a higher level of security control, namely, the management control that can act as an umbrella to the existing domains of security controls was suggested.

The development of a rule‐based expert system (ES), driven by a discrete event simulation model, that performs dynamic shop scheduling is described. Based on a flowtime prediction heuristic that has been developed and base‐line runs to establish the efficacy of scheduling strategies such as shortest processing time (SPT), critical ratio, total work, etc., a rescheduling‐based dispatching strategy is investigated in a dynamic job shop environment. The results are discussed and analyzed.

This study aims to investigate the complex relationship between digitalization capability (DC) and radical innovation performance (RIP). In particular, this study sheds new light on the results of previous studies on the effects of DC on firm innovation.

The authors obtained questionnaire data from 271 IT managers of randomly selected high-tech Chinese firms. The data was used to empirically test the proposed hypotheses using hierarchical regression analysis.

The findings of this study reveal that DC has an inverted U-shaped effect on RIP. Knowledge accumulation (KA) has a partial mediating effect on the DC–RIP link. Knowledge integration capability (KIC) was found to moderate the DC–RIP relationship: the higher a firm’s KIC, the flatter the DC–RIP curve. Moreover, there is empirical evidence of the shape-flip phenomenon of the DC–RIP curve: when KIC > 1.82, the DC–RIP relationship is no longer an inverted U-shaped but presents as a U-shaped curve.

This study explores the DC–RIP relationship from the perspective of knowledge management, deepens the research scope of digitalization and lays the foundation for subsequent research.

This study provides potential explanations for contradictory views of the effect of DC on innovation in the existing literature by revealing the nonlinear relationship of DC and RIP and the important roles of KA and KIC in that relationship. The new insights into the role of KIC as a threshold for the DC–RIP link provide a direction for firms to control the pace of digital transformation.

The purpose of this paper is to provide useful implications for Korean export companies to adopt the smart technology to improve their performance in the era of industrial convergence with the interdisciplinary study between trade and technology management.

This study followed the five-stage procedure and methods. In the first stage, measurement items were developed in four performance factors: leaning and growth, internal process, customer and finance. In the second stage, data were collected by conducting two types of surveys: first, for Korean export companies that have adopted Radio frequency identification (RFID) to test the proposed model and analyze the performance and second, for RFID experts of industry-university R&D cooperation to measure the relative importance of factors and items. In the third stage, the model was verified with structural equation modeling. In the fourth stage, AHP was used to analyze the relative importance of factors and items. In the fifth stage, post-RFID adoption performance in Korean export companies was measured by a formula for the performance index. Through these five-stage procedure and methods, the final performance improvement strategies and practical implications are presented in the conclusion.

The framework finds that the total score of RFID post-adoption on company performance proved relatively low, which indicates that the effect of this technology on export companies’ performance is still unsatisfactory. And financial performance proved to be ‘top priority’ area, which requires the most urgent effort for improvement since its importance was higher than learning and growth, internal process and customer performance—but nonetheless its performance index was the lowest. This study finds that strategic decision making is required for adopting smart technology in the perspective of technology convergence to improve the performance of companies among heterogeneous industries.

Despite the significant results of this study alone, it also has limitations. Therefore, the direction of the future study is as follows: future research should focus on finding specific impact factors enhancing post-adoption of smart technologies including RFID performance by conducting empirical studies that identify the factors affecting post adoption of smart technologies rate directly or indirectly.

In the current global market environment, not only technological convergence in the same kind of industry but also industrial convergence in the different kinds of industries are essential to manufacturing and service companies including to export companies with perspective of Innovation. This study has the value as an interdisciplinary study to actually measure the performance of a company by industrial convergence through the theme of adoption of smart technology in export companies.

The implementation of Radio Frequency Identification (RFID) technology has been initiated by many countries for construction industry applications due to its peculiar benefits. However, the successful implementation of the RFID technology has been hindered due to numerous barriers that are specific to the construction sector. Therefore, this study aims to propose strategies to overcome barriers that constitute significant obstructions to RFID adoption in the construction industry.

This study adopted an exploratory mixed-method approach to attain the research aim. The survey was followed by 11 individual interviews conducted with experts and the findings were analysed using content analysis. The questionnaire survey that was carried out as a part of the research had a response rate of 80% and collected data were analysed using Relative Importance Index. To ensure the robustness of the findings, expert validation interviews were conducted to cross-verify and provide deeper insights into the results.

The high implementation cost of RFID technology was identified as the most significant barrier when implementing RFID technology. Subsequently, strategies were proposed to implement RFID technology based on identified highly significant barriers of RFID. Implementing RFID technology in small-scale construction projects, increasing the collaboration among the countries that have implemented RFID technology and encouraging investors to invest in RFID-implemented projects were mainly proposed to improve the applications of RFID technology in the construction industry.

This study paves the way to identify the RFID technology concept and its barriers and strategies to effectively implement RFID technology in the construction industry. Findings are helpful to the construction industry practitioners to obtain the optimum benefit from the implementation of RFID technology.

The findings of this paper throw light on the focal research areas within RFID in the supply chain, which serves as an effective guideline for future research in this area. This research, therefore, contributes to filling the gap by carrying out an SLR of contemporary research studies in the area of RFID applications in supply chains. To date, SLR augmented with BA has not been used to study the developments in RFID applications in supply chains.

We analyze 556 articles from years 2001 to date using Systematic Literature Review (SLR). Contemporary bibliometric analysis (BA) tools are utilized. First, an exploratory analysis is carried, out revealing influential authors, sources, regions, among other key aspects. Second, a co-citation work analysis is utilized to understand the conceptual structure of the literature, followed by a dynamic co-citation network to reveal the evolution of the field. This is followed by a multivariate analysis is performed on top-100 cited papers, and k-means clustering is carried out to find optimal groups and identify research themes. The influential themes are then pointed out using factor analysis.

An exploratory analysis is carried out using BA tools to provide insights into factors such as influential authors, production countries, top-cited papers and frequent keywords. Visualization of bibliographical data using co-citation network analysis and keyword co-occurrence analysis assisted in understanding the groups (communities) of research themes. We employed k-means clustering and factor analysis methods to further develop these insights. A historiographical direct citation analysis also unveils potential research directions. We observe that RFID applications in the supply chain are likely to benefit from the Internet of Things and blockchain Technology along with the other machine learning and visualization approaches.

Although several researchers have researched RFID literature in relation to supply chains, these reviews are often conducted in the traditional manner where the author(s) select paper based on their area of expertise, interest and experience. Limitation of such reviews includes authors’ selection bias of studies to be included and limited or no use of advanced BA tools for analysis. This study fills this research gap by conducting an SLR of RFID in supply chains to identify important research trends in this field through the use of advanced BA tools.