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The purpose of this paper is to research the impact of digitalization on employees' future competencies and the conditional role of human resource development (HRD) in the relationship between independent and dependent variables.

Empirical research covered 1209 enterprises from all of Slovakia, Poland and the Czech Republic. The research was conducted from 2019 to 2021. Using structural equation modeling (SEM), a theoretical model was tested and verified.

Confirmatory factor analysis has shown a good fit for the tested model. The purpose and character of our data showed a good alignment with the SEM partial least squares method, as the goal is to predict a construct. The model showed that employee-oriented digitalization positively affected the employees' future competencies, with no impact of customer-oriented digitalization treated as a control variable. Also, the moderating role of HRD has not been shown to be significant for the “digitalization – competencies” relationship.

Previous studies on the development of personnel competencies treated these competencies as antecedents of digital transformation and examined the formal role of HRD in building the competencies. The novelty of this study lies in exploring the pattern of interactions among the impact of an environment built by innovative technologies and HRD on the competencies of the future. Also, the research embedded in the environment of Poland, the Czech Republic and Slovakia has contributed to the complex understanding of the transition to digitalization, as this region has often been omitted in the field of human resource management (HRM) research focused on exploring digital transformation.

This study aims to analyse the influence of digitalisation on the management control function of small and medium-sized enterprises (SMEs). In particular, it aims to illuminate how digitalisation influences management control elements, organisation and roles/competencies and to identify obstacles to digitalisation of management control in SMEs and measures taken to overcome them.

The study is based on guideline-supported expert interviews conducted with 14 financial managers from SMEs in Germany, Austria and Switzerland.

This study reveals the influence of digitalisation on management control elements, organisation, and roles/competencies. The automation and standardisation of management control processes result in new elements for management control, such as strategic support for management. In addition, the increased availability and transparency of data enable the use of instruments within a company that allow for quick analyses of the company's development. Digitalisation leads to the integration of management control into the corporate network and, thus, a change in the organisation of management control. It also triggers the expansion of management control competencies, especially IT competencies. A shortage of internal digitalisation resources, unclear corporate roadmaps, and a lack of managerial experience loom as central challenges for digitalising the management control function. Measures derived from the interviews can help SMEs overcome the obstacles to the digitalisation of management control.

This research is the first interview-based study of the impact of digitalisation on management control in SMEs, potential obstacles to that digitalisation, and measures to overcome those obstacles. Thus, it contributes to the emerging debate on factors that may explain why SMEs lag in terms of the digitalisation of their internal processes.

The aim of this article is to present a model for the orchestration of dynamic capabilities (ODCs) in cleantech companies that aim to obtain competitive advantage in the market.

The authors present herein descriptive research guided by a qualitative multiple case study approach carried out with 12 cleantech companies.

The results have showed that the ODC model is present in the product/process cycle, thus providing new capabilities and generating sustainable competitive advantage through the research categories presented.

This study contributes to the literature on the ODCs through microfoundations based on evidence of companies inserted in technological and intensively dynamic contexts.

This article demonstrates, through the ODC model, the main capabilities and characteristics of the assets of cleantech companies and how the process of renewing competencies to obtain competitive advantage occurs.

The ODC model utilizes technological resources in the product/process cycle. Asset specificity and the capacity for innovation allow cleantech companies to explore regulatory loopholes, making their sustainable model innovative and obtaining competitive advantage through the renewal of entrepreneurial capabilities and competencies.

The role of procurement managers is crucial for diffusing sustainability throughout the supply chain. Whether or not they are willing to pay for sustainability is an important and not yet fully understood question. The authors examine antecedents and consequences of their willingness to pay (WTP) for sustainability.

The authors develop a multi-level framework to examine the WTP for sustainability in a B2B context. The authors test this multi-level framework with 372 procurement managers from multiple sectors and countries using partial least squares structural equation modeling.

The authors find that individual values of procurement managers and institutional pressures directly, while ethical organizational culture indirectly influence WTP for sustainability. Functional and cognitive competencies of procurement managers improve the sustainability of procurement, but not WTP for sustainability. Importantly, WTP for sustainability directly influences the performance of the procurement function which in turn is positively associated with increased organizational performance.

The study, examining the interplay between individual, organizational and contextual factors, provides empirical evidence on the pivotal role of procurement managers in diffusing sustainability throughout the supply chain. The findings of the study, on the one hand, contribute to the literature on operations management and sustainability, and on the other hand, guide policy and managerial actions.

The major purpose of this paper is to examine the mediating role of job competency in the effect of transformational leadership to performance of university lecturers. This article also attempts to examine the direct effect of transformational leadership on job competency and lecturer performance.

For the purpose of the study, quantitative research was applied by conducting an empirical survey with the active participation of 223 lecturers. The survey was conducted in ten high-ranked private universities in Jakarta, Indonesia. Structural equation modeling (SEM) was employed for the measurement and structural model analyses.

The results reveal that the effect of transformational leadership on lecturer performance is expressed only by indirect effect (through lecturer competency). Even though transformational leadership has a positive direct effect on lecturer performance, it is not statistically significant. This paper highlights the crucial role of lecturer competency in the performance of academic scholars. The findings suggest transformational leadership is fundamental in fostering competencies, which, in turn, improve the work performance of university lecturers.

This study makes significant contributions to the understanding of the interaction between transformational leadership and performance in higher education, and the statistical significance of lecturer work competency in mediating this relationship. The results of this study provide a snapshot of the contextual mechanism linking transformational leadership and lecturer performance.

Many veterans struggle with the civilian world and the loss of identity associated with leaving the service. This research investigates the Building Heroes Charity's role in assisting service leavers transitioning to civil employment, in the United Kingdom (UK) and what can be learnt from the training and support.

An exploratory case study design was chosen to investigate the transition from military to civilian employment. The case study consisted of 12 in-depth interviews consisting of nine veterans, who had attended the Building Heroes courses and three course tutors.

The Building Heroes Charity does have an important role to fulfill in the transition of military personnel from the service to civilian work. There are positive outcomes that complement the work done by the Career Transition Partnership (CTP), but there still needs to be recognition that the needs of veterans do differ by age, transferability of competencies and the financial resources available.

The limitations of this research are the sample size is small and the majority of the veterans are from the Army. This is mostly because the Army is the largest of the services.

Though there is limited research into the employment of veterans, there is evidence to demonstrate that veterans are more likely to suffer from depression and potential homelessness than nonservice personnel. This research is unique in investigating the role of a charity whose main purpose is to improve the employability of veterans by reducing the competency skills gap between the military and construction industry.

This study aims to test and analyze the effect of continuous commitment, task complexity, competence and personal value on employee performance millennial intervening job satisfaction.

This research method is quantitative with a sequential explanatory design, then data collection through a questionnaire, with a sample of 205 respondents—data analysis using Structural Equation Model (SEM) with the software Linear Structural Relationship (LISREL).

The results of research on the performance of millennial employees with intervening work satisfaction showed that continuous commitment (2.49), task complexity (2.74) and professional competence (2.0) had a significant effect. This means that the performance of millennial employees will increase if they get job satisfaction. With satisfaction, the commitment and competence of millennial employees are high. While the research results for the performance of millennial employees have a direct influence, only professional competence (2.27) and task complexity (4.06) are significant. This means that as high as professional competence is characterized by intellectual, emotional mood and attitude, owned by millennial employees, the resulting performance is increased even with complex tasks.

The findings of this study have significance for enhancing organizational performance so that businesses can maximize the performance of millennial employees by paying attention to job satisfaction, professional competence and personal values.

This research's contribution to millennial workers is to help them improve and develop their performance, allowing them to compete more effectively. The findings of this study have significance for enhancing organizational performance so that businesses can maximize the performance of millennial employees by paying attention to job satisfaction, professional competence and personal values.

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 case was written with publicly available information about Nintendo.

In the 1980s and 1990s, Nintendo dominated the video game industry with a market share of 90%. In 2020, Nintendo’s market share dropped to nearly 31%. This case examines a 40-year history of Nintendo, including its core strategy of video game and video game console development and its growth strategy using its intellectual property. Throughout its history, Nintendo has faced and continues to face stiff competition from Sony, Microsoft and new emerging technologies like virtual reality video games. Nintendo has the challenge of competing in a rapidly changing industry with changing customer preferences where it once had a dominant market share. Can Nintendo continue competing, relying on its core competency of developing new video games and consoles? Or moving forward, should it further define itself more broadly by continuing to leverage its intellectual property in the entertainment industry?

This case is suitable for undergraduate courses in marketing, marketing management and business strategy, or where an instructor focuses on strategic decision-making. This case will provide valuable in-class discussions on the importance of defining what a business should do and how it should grow. Additionally, this case will be useful for courses that include advanced discussions on tradeoffs between focusing on core competencies and growth by expanding into other opportunities that are not necessarily part of a business’s core strategy. A portion of this case was tested in an undergraduate marketing strategy and marketing principles course. The case created an excellent environment for critical thinking and analysis.

This study aims to further develop the CLC stage/path’s identification model that distinguishes between path’s emergence (emergence stage), path’s development (growth stage), path’s sustainment (maturity stage), path’s decline (decline stage) and path’s transformation (renewal stage), and by applying it, define the current stage/path of the Demarcated Douro Region (DDR) cluster. The Port wine industry, which is the dominant industry of the DDR cluster, is at the maturity/decline stage – is the same for the cluster itself?

It is a case study with a longitudinal perspective based on the analysis of the dynamics of the parameters of cluster evolution using available secondary sources (cluster identity/brand; number of firms; number of employees; network; innovation; policies and regulations; and external markets – exports), especially addressing the past decade, that represent the stage of maturity/decline of the cluster’s dominant Port wine industry.

The conclusion is that since the 1990s the Demarcated Douro Region has gone through a “path transformation” where during the following 20 years new “anchors” for the cluster were gradually introduced, such as Doc Douro Wines, new forms of consumption of Port wine, tourism and olive oil. Since 2010 the cluster has entered a growth stage/(new) path’s development, where these “anchors” are in steady growth. The Douro brand is becoming more internationally recognized and established, the number of firms and employees is increasing, the network is restructuring with the creation of cluster-specific official institutions, innovation is especially reflected with increasing heterogeneity through diversification of the clusters into new activities and regulations and policies are supportive for expansion – all these parameters are indicating the rise of the new cycle for the cluster. Thus, the DDR cluster represents an attractive business environment and requires attention from regional policymakers to support the cluster’s development. Especially institutions have been highlighted as internal factors driving clusters growth, European integration as an external factor and firms’ strategies of diversification and internationalization as an appropriate de-locking mechanism for new path’s development.

This research contributes to the CLC theory by further developing and applying a CLC stage/path identification model. It provides a better understanding of the dynamics of the DDR cluster that diverge from its dominant industry life cycle, which is relevant for regional policies and firms’ strategies. This study has its limitations. It provides an exploratory application of the theoretical framework proposed, and consequently, no general conclusions are possible yet. More empirical studies with different clusters in different stages are necessary to test the framework.

These findings are useful to policymakers when designing their policies for cluster development but also for clusters’ entities and actors when making their strategic decisions as it allows based on the verification of the established parameter of CLC to identify its current stage/path of development.

The paper presents a theoretically grounded model for CLC identification and for the first time to the best of the authors’ knowledge applies it to a cluster case – the DDR cluster. This case applies the proposed model and illustrates its usefulness. The model provides the tools for a better understanding of cluster dynamics.