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This paper proposes a semi-Beerian frame of reference for designing a business organization as a system with four subsystems and eight modes of thinking and interacting in both offering and resource markets. A systemic organizational competence includes an ability to connect a business unit with its markets. It possesses absorption, attenuation, and amplifier capacities. It guides and re-specifies all technology, embedded knowledge, capabilities, and other resources that together enable a business unit to act in the predefined, emerging, or innovative ways needed for goal attainment. Ex ante, various research traditions were regrouped into eight schools of thought on business management based on Porter's frameworks, resources, competences, knowledge, organizations, processes, business dynamism, and evolution. The findings reveal that various core, distinct, organizational, higher, and lower competences and capabilities play both primary and secondary roles, across the eight schools of thought, within a population of 84 competence-related business-management concepts published between years 1990 and 2002. Most authors do not deal with competitiveness boundary setting and modeling. A new frame of reference points to some viable avenues of producing highly applicable competence-based concepts as four semi-Beerian subsystems (boundaries, models, designs, and actions). Managing a business unit successfully involves eight kinds of explicit and tacit knowledge, situational information, reflections, decisions, models, designs, and interactions. It is proposed that a high degree of systemic advancement is one of the necessary attributes of any competence-based concept that will be proven to be highly applicable in managing a real dynamic business. Thus, competence-based scholars are encouraged to adopt the suggested assumptions, redesign their concepts as one or several semi-Beerian subsystems, and thus advance their school of thought markedly in the future.

Researchers have worked diligently to find the factors that foster organizational trust, but the causal relationships between the enablers of organizational trust have remained unexplored. Therefore, the purpose of this study is to map and analyze the causal link structures of organizational trust enablers.

Data were gathered from employees working in Indian manufacturing organizations. The decision-making trial and evaluation laboratory (DEMATEL) approach was used to test the cause-and-effect linkages among organizational trust enablers.

The empirical evidence shows that 6 out of 14 enablers are causal, namely, organizational justice, person–organization fit, corporate citizenship, positive leadership behavior, relational quality and job satisfaction.

The findings of the study offer a deeper understanding of identified enablers of organizational trust and their linkages with other outcome enablers. Furthermore, the findings provided in the current study will assist top authorities, practitioners and HR managers in focusing on the select causal organizational trust enablers. In addition, the ranking established in this study will help organizations in directing their efforts and resources toward the few select enablers that help to facilitate other consequent enablers of organizational trust. In other words, the results of the study would help in gaining the advantages of efficiency in fostering trust at work.

By providing the empirically valid causal framework of organizational trust enablers, the present study makes a novel contribution to the field. Also, the findings of this study would help organizational policymakers, HR managers and organizational behavior practitioners in developing a better understanding of inculcating trust at work. Furthermore, the use of these enablers will help to foster a trustworthy environment at work.

The prerequisite for most traditional visual simultaneous localization and mapping (V-SLAM) algorithms is that most objects in the environment should be static or in low-speed locomotion. These algorithms rely on geometric information of the environment and restrict the application scenarios with dynamic objects. Semantic segmentation can be used to extract deep features from images to identify dynamic objects in the real world. Therefore, V-SLAM fused with semantic information can reduce the influence from dynamic objects and achieve higher accuracy. This paper aims to present a new semantic stereo V-SLAM method toward outdoor dynamic environments for more accurate pose estimation.

First, the Deeplabv3+ semantic segmentation model is adopted to recognize semantic information about dynamic objects in the outdoor scenes. Second, an approach that combines prior knowledge to determine the dynamic hierarchy of moveable objects is proposed, which depends on the pixel movement between frames. Finally, a semantic stereo V-SLAM based on ORB-SLAM2 to calculate accurate trajectory in dynamic environments is presented, which selects corresponding feature points on static regions and eliminates useless feature points on dynamic regions.

The proposed method is successfully verified on the public data set KITTI and ZED2 self-collected data set in the real world. The proposed V-SLAM system can extract the semantic information and track feature points steadily in dynamic environments. Absolute pose error and relative pose error are used to evaluate the feasibility of the proposed method. Experimental results show significant improvements in root mean square error and standard deviation error on both the KITTI data set and an unmanned aerial vehicle. That indicates this method can be effectively applied to outdoor environments.

The main contribution of this study is that a new semantic stereo V-SLAM method is proposed with greater robustness and stability, which reduces the impact of moving objects in dynamic scenes.

The purpose of this paper is to analyse relations between geographical and competence proximity and development of cooperation in cluster initiatives.

The research was based on an original theoretical concept referring to the trajectory of the development of cooperative relations in cluster initiatives. The research was carried out in mid-2017, in four purposefully selected cluster initiatives. The research sample was 132 cluster enterprises. The main research strategy involved non-experimental models; the basic method of data collection was an online questionnaire.

The results indicated that the role of geographical and competence proximity depends on the level of cooperation in a cluster initiative. In both these dimensions, proximity was important during the initial stage of cluster development: to start cooperation between the members, however, when more mature forms of cooperation were undertaken, the factor of common location was not so crucial any longer. It was also recommended to maintain some competence distance between the partners.

The main limitations referred to the static character of the data, the use of original measurement tools, which had not been tested before, the small and little differentiated research sample and the subjective nature of the research. The above-mentioned limitations should be viewed as a starting point for further empirical research.

Knowledge on the significance of geographical and competence proximity at various levels of cooperation in clusters is valuable for efficient management of a cluster and for higher competitiveness that it can achieve.

The research study contributes to the literature, which refers to the question of proximity in clusters through the analysis of relations between geographical and competence proximity and development of cooperation in cluster initiatives. The results of the research point out that the role of geographical and competence proximity evolves with the development of cooperation in cluster initiatives.

The objective of this study is to investigate the effect of a strategy map on the quality of decision making.

An experimental design is used in this study. A total of 24 participants were randomly assigned into two groups – a control group and a treatment group. Each participant completed two rounds of the experiment covering 24 decisions using a simulation game. The multiple regression technique is used as the analysis tool in this study.

The results show that strategy maps do not affect the performance of participants' decision making.

This research employs the laboratory experimental design. Thus the external validity (the generalizability) is limited.

Results obtained from this research suggest that a strategy map alone is not an effective tool to help managers make better decisions. More details, such as a correlation between strategic measures in the strategy map or guidelines for the use of the map, could help make a strategy map more useful.

This study tests the cause and effect relationship between using a strategy map and the results of decisions made. Unlike many studies that employ the survey method in which confounding variables cannot be controlled, results from this experiment suggest that a simple strategy map alone does not improve the quality of decision making. This finding can thus be valuable to managers who are considering using a strategy map as a management tool.

Discusses a new manufacturing philosophy, Schedule‐based Manufacturing and compares it to the widely used Manufacturing Resource Planning [MRPII]. Looks at the history of the various manufacturing philosophies and how they have developed. Describes how SBM grew from interactive real‐time shop floor scheduling and outlines its benefits.

In literature, it is recognized that there is no universal set of critical success factors (CSFs) applicable to all projects. The goal of this research is to validate a theoretical model which considers that CSFs’ influence on project success (PS) is configurational, that CSFs combine to influence PS.

The authors proposed a theoretical framework which operationalizes CSFs considering contingency and institutional theories' terms, as external contingencies, organizational resources and project strategies, which influence PS. The framework is validated through a qualitative approach on 18 social projects implemented by nongovernmental organizations (NGOs). Based on the conducted semistructured interviews with NGO managers or project managers, 91 instances when CSFs combine to influence PS were identified.

The dominant path reveals the combination of CSFs in terms of strategies adopted to face contingencies (70 instances), another as resources which moderate managers' strategies (14 instances), and in seven instances positive contingencies and resources combine and influence the PS. The results reveal that CSFs combine in reactive and dynamic ways to influence PS.

The research contributes to the vast literature on projects' success by adopting a different perspective. Configurational theory explains project management and projects' complexity better than the traditional approaches, which have a rather correlational perspective.

In recent times, reverse logistics (RL) is gaining significant traction in various automobile industries to recapture returned vehicles’ value. A good RL program can lower manufacturing costs, establish a green supply chain, enhance customer satisfaction and provide a competitive advantage. However, reducing disruptions and increasing operational efficiency in the automobile RL requires implementing innovative technology to improve information flow and security. Thus, this manuscript aims to examine the hurdles in automobile RL activities and how they can be effectively tackled by blockchain technology (BCT). Merging BCT and RL provides the entire automobile industry a chance to generate value for its consumers through effective vehicle return policies, manufacturing cost reduction, maintenance records tracking, administration of vehicle information and a clear payment record of insurance contracts.

This research is presented in three stages to accomplish the task. First, previous literature and experts' opinions are examined to highlight certain factors that are an aggravation to BCT implementation. Next, this study proposed an interval-valued intuitionistic fuzzy set (IVIFS) – decision-making trial and evaluation laboratory (DEMATEL) with Choquet integral framework for computing and analyzing the comparative results of factor interrelationships. Finally, the causal outline diagrams are plotted to determine the influence of factors on one another for BCT implementation in automobile RL.

This study has categorized the barriers to BCT implementation into five major factors – operational and strategical, technical, knowledge and behavioral, financial and infrastructural, and government rules and regulations. The results revealed that disreputable technology, low-bearing capacity of IT systems and operational inefficiency are the most significant factors to be dealt with by automobile industry professionals for finer and enhanced RL processes utilizing BCT. The most noticeable advantage of BCT is its enormous amount of data, permitting automobile RL to develop client experience through real-time data insights.

This study reveals several factors that are hindering the implementation of BCT in RL activities of the automobile industry. The results can assist experts and policymakers improve their existing decision-making systems while making an effort to implement BCT into the automobile industry's RL activities.

Although there are several studies on the benefits of BCT in RL and the adoption of BCT in the automobile industry, individually, none have explicated the use of BCT in automobile RL. This is also the first kind of study that has used IVIFS-DEMATEL with the Choquet integral framework for computing and analyzing the comparative results of factor interrelationships hindering BCT implementation in automobile RL activities.

This research aims to identify, examine and evaluate barriers to the adoption of digital servitization in manufacturing firms in the case of the Sri Lankan manufacturing sector and analyze the inter-relationships among digital servitization barriers.

Based on the comprehensive literature review, 13 barriers were identified. The grey decision-making trial and evaluation laboratory (grey-DEMATEL) approach was used to uncover and analyze the relationships among barriers in terms of their overall influence and dependencies.

A prominent barrier to the success of adopting digital servitization in the Sri Lankan manufacturing sector is the lack of digital strategy in developing activities related to the design of digital service packages, organizational structures and processes. Supply chain integration is the most influential factor, which plays an important role in developing a competitive advantage by encouraging innovation process capabilities in servitized companies.

Industry practitioners can develop guidelines for adopting digital servitization practices based on the importance and interdependencies of different barriers and thereby prioritize projects within a program of digital servitization adoption in their organizations.

Research studies on barriers to digital servitization are limited to exploratory nature and have adopted mainly the qualitative approach, such as in-depth interviews. No empirical study has investigated the inter-relationships among digital servitization adoption barriers in the manufacturing sector. This study provides a holistic view of different barriers to the adoption of digital servitization in the manufacturing sector as a basis for developing comprehensive digital servitization strategies to manage and leverage complexity in digital transformation.

This paper aims to propose a framework for evaluating the performance of reverse value chain activities in the clothing industry operating at base of the pyramid. Specifically, the research explores firm and supply chain factors influencing clothing reverse value chain activities with a focus on developing economies.

The study adopted an explorative technique using direct observations and semi-structured interviews to collect information from eight companies and two traders. Internal resources and value chain capabilities were examined using theoretical underpinnings of resource-based view, transaction cost economics and base of the pyramid.

The paper identified multiple benefits of offshoring reverse value chain activities to the developing countries (at the base of the pyramid). Low operation cost, skilled manpower, business knowledge and location are found to be internal success factors. While favourable government legislation and domestic recycling markets are important external factors contributing to the success. Developing economies such as India contribute to firm performance by integrating, transforming, acquiring and co-creating the resources at base of the pyramid. Further, it was found that to achieve higher assets specificity, a few companies have opened their own shops in African countries, while others have opened sourcing branches in Canada or the USA to ensure good quality of raw materials. Collaboration and coordination among different value chain partners minimise cost and increases profitability. Innovation in the process such as clothes mutilation for recycling has created new business opportunities.

Information was collected from only eight organisations and two traders from India. Future scholars may extend the research to generalise the findings by documenting similar phenomena.

The proposed framework can serve a basis for the practitioners to evaluate firm performance, and the insights can be used to achieve sustainability by engaging producers, employees, consumers and community using base of the pyramid approach.

The study provides unique insights into the prevalent export and re-exports phenomena of used clothing. The resource-based view, transaction cost economics and base of the pyramid strategy underpinned together to develop a framework for understanding reverse value chain activities of clothing.