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An agile supply chain (SC) is critical in achieving competitive advantages in the vulnerable environment. Based on the competence–capability–performance paradigm, this study aims to investigate how information technology (IT) usage and employee multi-skilling influence internal, supplier and customer agility that are the three dimensions of SC agility. It further explores relationships between SC agility dimensions and SC performance.

This study used a survey method to collect primary data and sampled 216 Chinese manufacturing firms in different industries. Construct validity and reliability were confirmed. Structural equation modeling was used to test hypotheses.

The findings indicate that internal agility is the baseline of SC agility, which improves supplier and customer agility. IT usage is more important than employee multi-skilling in facilitating SC agility. The former improves all three dimensions, whereas the latter only improves internal agility. Both internal and supplier agility can improve SC performance, whereas customer agility has no significant effect.

This study contributes to the SC agility literature in two folds. On the one hand, based on the dynamic capability perspective, this research clarifies three dimensions of SC agility and their interrelationships. On the other hand, integrating competence–capability–performance paradigm with information processing view, this research investigates the antecedent and outcome of SC agility. In addition, to date, this is one of the first studies to simultaneously examine the effect of two critical competencies, namely, IT usage and employee multi-skilling on SC agility.

This study aims to develop the alleviating bullwhip effects framework (ABEF) replenishment rules, and bullwhip, inventory fluctuations and customer service fulfilment rates were examined. In addition, automated smoothing and replenishment rules can alleviate supply chain bullwhip effects. This study aims to understand the current artificial intelligence (AI) implementation practice in alleviating bullwhip effects in supply chain management. This study aimed to develop a system for writing reviews using a systematic approach.

The methodology for the present study consists of three parts: Part 1 deals with the systematic review process. In Part 2, the study applies social network analysis (SNA) to the fourth phase of the systematic review process. In Part 3, the author discusses developing research clusters to analyse the research state more granularly. Systematic literature reviews synthesize scientific evidence through repeatable, transparent and rigorous procedures. By using this approach, you can better interpret and understand the data. The author used two databases (EBSCO and World of Science) for unbiased analysis. In addition, systematic reviews follow preferred reporting items for systematic reviews and meta-analyses.

The study uses UCINET6 software to analyse the data. The study found that specific topics received high centrality (more attention) from scholars when it came to the study topic. Contrary to this, others experienced low centrality scores when using NETDRAW visualization graphs and dynamic capability clusters. Comprehensive analyses are used for the study’s comparison of clusters.

This study used a journal publication as the only source of information. Peer-reviewed journal papers were eliminated for their lack of rigorousness in evaluating the state of practice. This paper discusses the bullwhip effect of digital technology on supply chain management. Considering the increasing use of “AI” in their publications, other publications dealing with sensor integration could also have been excluded. To discuss the top five and bottom five topics, the author used magazines and tables.

The study explores the practical implications of smoothing the bullwhip effect through AI systems, collaboration, leadership and digital skills. Artificial intelligence is rapidly becoming a preferred tool in the supply chain, so management must understand the opportunities and challenges associated with its implementation. Furthermore, managers should consider how AI can influence supply chain collaboration concerning trust and forecasting to smooth the bullwhip effect.

Digital leadership and addressing the digital skills gap are also essential for the success of AI systems. According to the framework, it is necessary to balance AI performance and accountability. As a result of the framework and structured management approach, the author can examine the implications of AI along the supply chain.

The study uses a systematic literature review based on SNA to analyse how AI can alleviate the bullwhip effects of supply chain disruption and identify the focused and the most important AI topics related to the bullwhip phenomena. SNA uses qualitative and quantitative methodologies to identify research trends, strengths, gaps and future directions for research. Salient topics for reviewing papers were identified. Centrality metrics were used to analyse the contemporary topic’s importance, including degree, betweenness and eigenvector centrality. ABEF is presented in the study.

This study investigates the impact of big data analytics capabilities on export performance. Moreover, it assesses the mediating effect of the supply chain innovation and moderating effect of supply chain agility.

This study is based on primary data that were collected from the manufacturing sector operating in Jordan. A total of 327 responses were used for the final data analysis. Data analysis was performed via a partial least square structural equation modeling (PLS-SEM) approach.

The results of the data analysis supported a positive relationship between big data analytics capabilities and the export performance as well as a mediating effect of supply chain innovation. It was confirmed that supply chain agility moderated the relationship of supply chain innovation and export performance.

This study developed a theoretical and empirical model to investigate the relationship between big data analytics capabilities, export performance, supply chain innovation and supply chain agility. This study offers new theoretical and managerial contributions that add value to the supply chain management literature by testing the moderated-mediated model of these constructs in the manufacturing sector in Jordan.

The purpose of this paper is to explore the relationship of strategic manufacturing effectiveness utilizing the four-stage model of Hayes and Wheelwright (H-W) with overall performance of manufacturing, market alignment and production competence (PC). In addition, it attempts to understand the relationship of strategic manufacturing effectiveness with manufacturing capability development modes, strategic groups of companies and the nature of improvement programs being employed.

Structured questionnaire was used to capture data from manufacturing organizations. Responses from managers of 47 Indian manufacturing companies were used to test the seven propositions that were developed to examine the paradigms of manufacturing competence.

The analysis revealed that the strategic manufacturing effectiveness of manufacturing companies based on H-W’s four-stage model has significant positive correlation with the overall performance of manufacturing and PC of the company. Further, the analysis substantiated the relationship of strategic manufacturing effectiveness with capability development process and the nature of improvement programs.

This exploratory study is based on a small sample of manufacturing companies with diversity and hence it may not be representative of all industry sectors. Second, it has used several scales for measuring the relevant constructs which themselves are not proven, hence, the findings should be taken with caution.

This is an initial research focussing on the relationships among different elements of manufacturing competence such as manufacturing capabilities, PC, manufacturing capability development mode and overall performance of manufacturing with strategic manufacturing effectiveness using H-W model. H-W model was primarily proposed as an audit tool for managers, was hitherto not adequately studied in relation to other paradigms of manufacturing competence.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

The purpose of this paper is to study the role of business intelligence (BI) in achieving agility in supply chain context by examining the relationship between BI competence, agile capabilities, and agile performance of the supply chain.

A theoretical framework is developed drawing on the resource-based view, the dynamic capabilities perspective, and the competence-capability relationship paradigm, as well as an extensive review of the literature. Structural equation modeling is employed to analyze the data collected from Iranian manufacturers in the automotive industry.

The empirical results support the conceptualization of supply chain BI competence as a multi-dimensional construct comprising managerial, technical, and cultural competence, and confirm that it is a key enabler of supply chain agility in terms of both agile capabilities and agile performance. The results also provide support for partial mediation of agile capabilities on the relationship between BI competence and agile performance of the supply chain.

This paper provides a response to the identified need for empirical evidence on the benefits derived from BI, especially in the supply chain context. It also contributes to the existing supply chain agility literature by providing insight into the value and role of BI in enhancing agile capabilities and performance in the inter-organizational supply chain.

The purpose of this paper is to look into production competence theory by proposing and validating a multidimensional construct, and offering additional empirical evidence regarding the contribution of production competence to business performance.

Production competence is defined as a second‐order factor/construct in terms of five underlying dimensions: cost, flexibility, quality, delivery and environmental protection competence. Different scales are used to measure the construct, validated by a multi‐step process. Data from 274 manufacturing firms and structural equation modelling as the main technique are used for the analysis.

The paper suggests that manufacturing capabilities and their alignment with the competitive priorities pursued must be considered to explain the contribution of manufacturing to business performance. The provided evidence suggests that the manufacturing function significantly contributes to business performance, and enables us to conclude that production competence is a determinant of business performance.

Firms should focus on the development of manufacturing capabilities that are key for the market (and consistent with the business strategy). To achieve this, the production function should be integrated into the strategic planning process of the overall business strategy.

Most research works to date deal with production competence as a one‐dimensional construct and reduce its measurement to a single index, fussing variables of different types. This paper provides a valid multidimensional operationalisation of production competence, considering environmental protection as a fifth manufacturing objective. It also offers additional empirical evidence regarding the positive link between production competence and business performance.

Presents a framework of manufacturing competence, and tests its theoretical validity using empirical data from a large‐scale survey. Interesting findings include: the regression analysis shows that manufacturing competence is better represented when low‐priority capabilities are not explicitly considered; the manufacturing competence index appears to have more significant statistical relationships with some performance measures (such as the return on assets and return on sales) than with others – manufacturing matters, but not equally to all the financial and market performance; the concept of manufacturing competence is found to be more influential in determining the business performance in the electronics sector than in the machinery industry. Does manufacturing competence matter equally in all industries, or does it matter more in a specific industry? If so, what makes manufacturing competence so important? Advocates further study to answer these questions and to complete the theory of manufacturing competence.

The ideas expressed in this work are based on those put into practice at the Okuma Corporation of Japan, one of the world′s leading machine tool manufacturers. In common with many other large organizations, Okuma Corporation has to meet the new challenges posed by globalization, keener domestic and international competition, shorter business cycles and an increasingly volatile environment. Intelligent corporate strategy (ICS), as practised at Okuma, is a unified theory of strategic corporate management based on five levels of win‐win relationships for profit/market share, namely: ,1. Loyalty from customers (value for money) – right focus., 2. Commitment from workers (meeting hierarchy of needs) – right attitude., 3. Co‐operation from suppliers (expanding and reliable business) – right connections., 4. Co‐operation from distributors (expanding and reliable business) – right channels., 5. Respect from competitors (setting standards for business excellence) – right strategies. The aim is to create values for all stakeholders. This holistic people‐oriented approach recognizes that, although the world is increasingly driven by high technology, it continues to be influenced and managed by people (customers, workers, suppliers, distributors, competitors). The philosophical core of ICS is action learning and teamwork based on principle‐centred relationships of sincerity, trust and integrity. In the real world, these are the roots of success in relationships and in the bottom‐line results of business. ICS is, in essence, relationship management for synergy. It is based on the premiss that domestic and international commerce is a positive sum game: in the long run everyone wins. Finally, ICS is a paradigm for manufacturing companies coping with change and uncertainty in their search for profit/market share. Time‐honoured values give definition to corporate character; circumstances change, values remain. Poor business operations generally result from human frailty. ICS is predicated on the belief that the quality of human relationships determines the bottom‐line results. ICS attempts to make manifest and explicit the intangible psychological factors for value‐added partnerships. ICS is a dynamic, living, and heuristic‐learning model. There is intelligence in the corporate strategy because it applies commonsense, wisdom, creative systems thinking and synergy to ensure longevity in its corporate life for sustainable competitive advantage.

This paper reports the results of a three-year-long research on business relationships, relying on qualitative data gathered through multiple-case study research of four focal companies operating in Australia. The industry settings are as follows: steel construction, vegetable oils trading, aluminum and steel can manufacture, and imaging solutions. The research analyzes two main aspects of relationships: structure and process. This paper deals with structure describing it by the most desired features of intercompany relationships for each focal company. The primary research data have been coded drawing on extant research into business relationships. The main outcome of this part of the research is a five construct model composed by trust, commitment, bonds, distance, and information sharing that accounts for all informants’ utterances about relationship structure.