In the past, industries were concentrating only on the economic aspects of a business. Many organizations are now addressing the social and environment impact of their supply chain for which they are adopting sustainability in their supply chain. The process of transformation to a sustainable supply chain will encounter some barriers which need to be eliminated or mitigated. To successfully manage these obstacles, it is crucial to know and study these barriers in specific context. This research aims to identify and analyse major barriers hampering sustainability implementation in the case of electronics industry in India. Through literature review and experts’ opinion eleven barriers are identified and classified into categories of Policy, Human resource and Technology. The hierarchical structure and interrelationship among these barriers is established using Interpretive Structural Modeling (ISM) methodology. A major finding in this research is that lack of awareness on benefits of sustainability, lack of regulations and enforcement of environment standards and lack of commitment from top management are significant barriers in implementation of a sustainable supply chain. The driving and driven powers of these barriers and their interdependence is determined. Using MICMAC analysis, five barriers were recognized to be the driver variables, three barriers as dependent variables and three as linkage variables. The barrier lack of performance metrics/evaluation standards on sustainability is having strong dependence power and least driving power implying that it is highly influenced by other variables. It is found that most of the barriers in the policy category are independent with high driving and influencing power. The research draws attention to formulate targeted policies at both government and organizational level in the electronics industry for successful implementation of sustainable supply chain management. The modeling gives an insight to organizations in confronting barriers and to manage their resources in an efficient and effective way while making their supply chains sustainable. The paper concludes with findings and future scope of research being discussed.
Keywords: Sustainable supply chain | Barriers of sustainability | Interpretive structural modeling | MICMAC analysis | Electronic industry

In construction fields, it is common for workers to rely on hand signals to communicate and express thoughts due to their simple but effective nature. However, the meaning of these hand signals was not always captured precisely. As a result, construction errors and even accidents were produced. This paper presented a feasibility study on investigating whether the hand signals could be captured and interpreted automatically with computer vision technologies. It starts with the literature review of existing hand gesture recognition methods for sign language understanding, human-computer interaction, etc. It is then followed by creating a dataset containing 11 classes of hand signals in construction. The performance of two state-of-the-art 3D convolutional neural networks is measured and compared. The results indicated that a high classification accuracy (93.3%) and a short inference time (0.17 s/gesture) could be achieved, illustrating the feasibility of using computer vision to automate hand signal recognition in construction.
Keywords: Hand signal recognition | Dataset creation | Performance comparison | Feasibility study

This article investigates the literary corpus on digital innovation in knowledge management systems (KMS) to understand its role in business governance. The study introduces a broad survey of the scientific literature on this topic to understand how digital innovation promotes new business models through the optimization of new knowledge. We carried out a bibliometric analysis on a database, including 46 articles published in the last three decades (1990–2020). All the articles were written in English. The results show that research published on the topic reveals interesting implications for business models and business performance. These findings especially highlight the links between innovation and sustainability, revealing that digital transformation tools contribute over the long-term to the value creation process. This research contributes to the existing literature analyzing the KMS topic by considering it from the digital inno- vation processes perspective, pointing out the need to implement new knowledge creation and to share measures which support global and inclusive growth.
keywords: تحول دیجیتال (DT) | مدیریت دانش (کیلومتر) | مدل کسب و کار (BM) | عملکرد پایدار (SP) | Digital Transformation (DT) | Knowledge Management (KM) | Business Model (BM) | Sustainable Performance (SP)

As world is affected by demand volatility; process uncertainty; supply chain complexity and information ambiguity forming a VUCA world. To manage this scenario, industries are adopting emerging technologies for business excellence and one among them is Blockchain. Blockchain technology (BCT) is a distributed ledger technology (DLT) that stores transactional records in a tamper-proof and immutable way; it is a promising solution for incorporating transparency and traceability in traditional ecosystem. As automotive industries are facing a Volatile environment, Uncertain schedules & information; Complex supply chain networks, and Ambiguous decisions that cripples the automotive supply chain (ASC). Therefore, BCT can be used to address issues related to ASC in VUCA world. Keeping this in mind, study reported a systematic literature review (SLR) of BCT applications in ASC. More than seventy research papers were reviewed based on different BCT characteristics and applications. Through content analysis, study explored how to link supply chain visibility, information transparency with BCT for an efficient ASC in VUCA world. Moreover, a BCT implementation framework is proposed for ASC, to provide a decision-making approach for practitioners in VUCA world.
Keywords: Automotive supply chain | Blockchain | Systematic literature review | VUCA world

Background: The growing prevalence of chronic illnesses requires nurses to support self-management and help patients integrate the chronic illness into their life. To our knowledge there are currently no training programs that combine the necessary components to adequately enhance nurses competencies in self-management support. Objective: The systematic development and validation of a need-supportive training in self-management support for nurses. Design: A three-phased study, according to van Meijel et al. (2004), with collection of building blocks, design, and validation of the need-supportive character of the training. Setting and participants: Eight training groups with 30 nurses, 34 nursing students and nine social healthcare workers from different nursing colleges in Flanders, Belgium. Methods: In phase one a literature review, current practice analysis, and problem and needs analysis were per- formed. In phase two, the INTENSS training intervention was developed, framed within the Self-Determination Theory and the 5A’s-Model. The training consisted of a basic training module and a video-interaction guidance module. The intervention was subsequently tested in eight training groups (N = 73). Participants provided feedback during focus group discussions. The intervention was cyclically adapted to trainees experiences and suggestions. In phase three, we evaluated the need-supportive character of the training intervention. Results: Phase one indicated the need for training, since nurses application of self-management support was limited and practiced from a narrow medical point of view. In phase two we developed a theory-driven and multifaceted training, building on attitude, knowledge, skills and reflection in the training. The training was framed within the Self-Determination Theory both at the didactical level as well as on content and format. Overall, participants appreciated the building blocks of the training as supporting their basic needs for auton- omy, relatedness and competence. Conclusions: INTENSS, a multifaceted need-supportive training in self-management support was developed, successfully taking into account participants needs.
keywords: توسعه مداخله | آموزش | تحصیلات | نظریه خود تعیین | پشتیبانی از خود مدیریت | مراقبت های بهداشتی | پرستاری | بیماری مزمن | Intervention development | Training | Education | Self-determination theory | Self-management support | Health care | Nursing | Chronic illness