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The humanitarian supply chain (HSC) area is rich with conceptual frameworks with a focus on the importance of information and digital technology (IDT) applications. These frameworks have a limited scope in investigating and prioritizing barriers to IDT adoption in HSCs. The present study thus identifies and prioritizes the barriers to IDT adoption in organizations involved in HSCs.

By using a literature review allied with expert discussions and a fuzzy analytic hierarchy process (F-AHP), the study identifies and prioritizes a comprehensive set of barriers that organizations involved in HSCs may consider to improve IDT adoption.

The study investigates five main barriers (strategic, organizational, technological, financial and human) interlocked with 25 sub-barriers impacting the level of IDT adoption in organizations involved in HSCs. The findings indicate that strategic barriers (SBs) are of greatest importance, followed by organizational, technological, financial and human barriers. The findings indicate the difference in ranking barriers influencing the adoption of IDTs in HSCs compared to the commercial supply chain.

Although a three-step method adopted for this study is rigorous in terms of the way this research is conducted, it is essential to report that prioritization is based on the subjective opinions of the experts.

The findings aim to assist policymakers and practitioners in developing effective strategies to improve IDT adoption in organizations engaged in HSCs. Moreover, the prioritization of barriers provides a systematic way to overcome any barriers to improve HSC performance.

This study is first of its kind that investigates and prioritizes the barriers to IDT adoption in HSCs.

The recent report for the Commission of the European Communities on current multilingual activities in the field of scientific and technical information and the 1977 conference on the same theme both included substantial sections on operational and experimental machine translation systems, and in its Plan of action the Commission announced its intention to introduce an operational machine translation system into its departments and to support research projects on machine translation. This revival of interest in machine translation may well have surprised many who have tended in recent years to dismiss it as one of the ‘great failures’ of scientific research. What has changed? What grounds are there now for optimism about machine translation? Or is it still a ‘utopian dream’ ? The aim of this review is to give a general picture of present activities which may help readers to reach their own conclusions. After a sketch of the historical background and general aims (section I), it describes operational and experimental machine translation systems of recent years (section II), it continues with descriptions of interactive (man‐machine) systems and machine‐assisted translation (section III), (and it concludes with a general survey of present problems and future possibilities section IV).

As the COVID-19 epidemic ravages the world in the fourth industrial revolution era, the manufacturing sector faces its worst situation in a century. Lean philosophy, renowned as a “warrior philosophy,” can be an able rescuer to these industries. This study aims to identify the hurdles to lean strategy implementation and conduct an analysis to provide cognizance to policymakers, practitioners and decision-makers.

This study aims to identify the obstacles that obstruct lean implementation into seven primary barriers/components, with the fuzzy DEMATEL approach being used to evaluate the critical factors as well as the cause and effect factors among them. Expert opinions are sought to obtain the relevant data for evaluation purposes.

The results reveal that a firm should focus on firm cultural conflict scenario, resources–responses incapability, improve on suppliers’ attitude and execute a proper planning and logistics equation to alleviate the hindrances of implementing lean. As these causal factors influence the effect factors, namely, top management vision, management–employee relationship and human resource building, focusing on them automatically improves the effect factors; thus, the surge to overcome resistance to lean implementation is alleviated.

This research aids in identifying and analyzing lean implementation issues in the manufacturing and industrial sectors. The observations, results and insights drawn can act as a guiding force to rupture the resistance envelope covering the domain of lean implementation and possibly reinstating industries to survive and excel in the business post-COVID era.

This research introduces barriers to lean implementation in a unique way, as it articulates all sections of an industry and group the barriers based on the classification. It further prioritizes the barriers for their importance in the Indian industrial scenario. This would help the industry professionals and managers access the barriers and generate insight on how and where to start implementing lean.

Technology for training military teams has evolved through a convergence of advances in simulation technology for individual and collective training, methods for analyzing teamwork and designing training solutions, and intelligent tutoring technologies that adapt training to the student, to accelerate learning. A number of factors have slowed this evolution toward intelligent team tutoring systems (ITTS), including the challenges of processing communications data, which are the currency of teamwork, and the paucity of automated and generalizable measures of team work. Several systems fulfill a subset of the features required of an ITTS, namely the use of team training objectives, teamwork models, measures of teamwork, diagnostic capability, instructional strategies, and adaptation of training to team needs. We describe these systems: the Advanced Embedded Training System (AETS), Synthetic Cognition for Operational Team Training (SCOTT), the AWO Trainer, the Benchmarked Experiential System for Training (BEST), and the Cross-Platform Mission Visualization Tool. We close this chapter with recommendations for future research.

The purpose of this study is to offer a business process management (BPM) framework with information and insights on designing, implementing, using and assessing business processes for continuous improvement towards operational excellence.

An action research is carried out over two and a half years on the BPM evolution of a Brazilian entertainment organisation.

Research provides a novel procedural framework towards improving the understanding of how a complete lifecycle approach for BPM can be implemented for continuous improvement, embracing the critical success factors for each lifecycle phase to achieve operational excellence. Information technology and project management are critical success factors resulting in project barriers. Strategic alignment, top management support, collaborative environment, methods and methodology, and focus on users and culture are acknowledged as main enablers. Findings reinforce the importance of an organisation analysis phase to begin the BPM development and highlight the assessment and improvement phase to respond to organisational environment dynamism.

Practitioners can benefit from the lessons learnt and the proposed framework, which serves as a rigorous methodology to achieve operational excellence in their real-world settings.

This paper goes beyond the well-known design and analysis phases of BPM development, generally studied with an individual focus, offering a complete lifecycle approach for continuous improvement, analysing each phase, from the drawing board to its use and evaluation. It counts on an original longitudinal study rather than a single-time assessment study.

The purpose of this paper is to examine the evolution of the concept of human resource analytics (HRA) and propose an operational framework demonstrating the sources generating data for HRA, as well as the impact of HRA on multiple levels in the organization.

A review of literature was conducted to present the existing body of knowledge and build upon for the development of an operational framework for successful implementation of HRA as a human resources (HR) process.

Building upon the existing literature, this paper presents an operational HRA framework, positioning HRA as an analytical process through integrating advanced statistical methodology. HRA presents a tool to obtain evidence-based analytical results for improving people-related performance, operational effectiveness, and ultimately the impact of the business strategy. By using HR big data, HRA impacts multiple organizational levels, from individual employees to HR functions and the organizational strategy.

While research on data analytics has recently flourished across various management fields, this has not been the case for the broader field of HR. This is especially a growing concern as the lack of understanding of the basics and fundamentals of people analytics in the field of HR may delay the effective implementation and operationalization of HRA and present additional barriers impacting on-going HR activities, as well as HR’s role as a strategic business partner. HR practice may greatly benefit from gaining an understanding of HRA and the multi-levels of impact it may have on the organization.

This paper explores various concepts related to HRA by examining terms such as “HR metrics” vs “HR” and “HR big data” vs “big data.” Furthermore, the comprehensive HRA operational framework presented in this paper provides HR professionals and researchers with a better understanding of HRA in the age of data analytics and artificial intelligence.

Since its inception, mobile payment is rapidly gaining popularity over the years, and starting to replace traditional modes of payment. The usage of mobile payments has further escalated following various precautionary measures (i.e. social distancing) in curbing the transmission of the COVID-19 outbreak. However, most of the elderlies are still sceptical about the usage of mobile payment services. The current study was set to investigate the impact of functional, psychological and risk barriers that resulted in elderlies' resistance towards using such services. The impact of stickiness to cash was also examined as a moderator on the investigated relationships.

Online survey questionnaires were used to collect the responses from 400 elderly consumers at the age of 60 and above. Data analysis was then performed using the SPSS and AMOS statistical software packages.

Findings obtained acknowledged the significance of functional (i.e. perceived complexity, perceived incompatibility and perceived cost), psychological (i.e. lack of trust, inertia, and technological anxiety) and risk (i.e. privacy risk, security risk, financial risk and operational risk) barriers in influencing resistance towards mobile payment services among the elderlies. Consequently, resistance would influence their attitude and non-adoption intention; with attitude as the mediator between resistance and non-adoption intention. Finally, moderation analysis also confirmed the moderating effect of stickiness to cash towards elevating the correlation between resistance and non-adoption intention.

This study is one of the very few studies that explored the minimally investigated territory on the consequential importance of mobile payment usage among the elderlies, specifically, through extending the literature on the impact of functional, psychological and risk barriers towards the individuals' resistance. Besides, this study also successfully contributed to existing body of knowledge by highlighting the mediating role of attitude and moderating role of stickiness to cash in the interrelationships between resistance, attitude and non-adoption intention.

Cybersecurity has received growing attention from academic researchers and industry practitioners as a strategy to accelerate performance gains and social sustainability. Meanwhile, firms are usually prone to cyber-risks that emanate from their supply chain partners especially third-party logistics providers (3PLs). Thus, it is crucial to implement cyber-risks management in 3PLs to achieve social sustainability in supply chains. However, these 3PLs are faced with critical difficulties which tend to hamper the consistent growth of cybersecurity. This paper aims to analyze these critical difficulties.

Data were sourced from 40 managers in Nigerian 3PLs with the aid of questionnaires. A novel quantitative methodology based on the synergetic combination of interval-valued neutrosophic analytic hierarchy process (IVN-AHP) and multi-objective optimization on the basis of a ratio analysis plus the full multiplicative form (MULTIMOORA) is applied. Sensitivity analysis and comparative analysis with other decision models were conducted.

Barriers were identified from published literature, finalized using experts’ inputs and classified under organizational, institutional and human (cultural values) dimensions. The results highlight the most critical dimension as human followed by organizational and institutional. Also, the results pinpointed indigenous beliefs (e.g. cyber-crime spiritualism), poor humane orientation, unavailable specific tools for managing cyber-risks and skilled workforce shortage as the most critical barriers that show the highest potential to elicit other barriers.

By illustrating the most significant barriers, this study will assist policy makers and industry practitioners in developing strategies in a coordinated and sequential manner to overcome these barriers and thus, achieve socially sustainable supply chains.

This research pioneers the use of IVN-AHP-MULTIMOORA to analyze cyber-risks management barriers in 3PLs for supply chain social sustainability in a developing nation.

Building information modelling (BIM) implementation in the design, construction and operations (DCO) industry is increasingly becoming essential. While BIM has been adopted on a larger scale in many developed economies, its acceptance is still in the embryonic phases for developing nations in the DCO industry. This study aims to identify the inhibitors to BIM implementation through the social network theoretical lens, intending to understand the associations among the barriers in the Indian context. Subsequently, recommend strategies to mitigate the barriers from the academic practitioner’s perspective.

A mixed methods research was adopted, commencing with comprehensive literature reviews to recognise various inhibitors to BIM implementation. These identified barriers were further examined through the questionnaire survey (n = 71). BIM implementation barrier network (BIBN) was created using University of California at Irvine Network (UCINET) is a powerful social network analysis software that functions on the principle of social network theory. The experts’ opinions were captured through the BIBN network through interviews. Network properties such as eigen vector centrality, betweenness centrality, degree centrality, in-degree and out-degree and clustering coefficient were computed, and the metrics were analysed further.

Twenty-six BIM implementation barriers were initially identified. A questionnaire survey was conducted. The chain reaction can be minimised by prioritising and regulating these barriers. The issues were categorised into fourfold clusters (standardisation, policy and process, cultural and human resources, change management and operational) issues were generated from the exploratory factor analysis (EFA). The obstacles and barriers resulting from the other main barriers associated with it can be minimised by reducing the challenges with high eigenvector centrality but low betweenness importance.

This study proves to accelerate sustainable BIM implementation growth in developing nations; this research study assists BIM stakeholders in developing coping mechanisms to monitor and remove BIM implementation barriers.

Analysing the associativity of the BIM implementation barriers through sociograms for developing nations is a novel concept with this research.

Lean manufacturing is one of the leading paradigms for fast and proficient manufacturing but its proper implementation is a foremost task due to certain barriers affecting lean and can be handled when utilized with RFID technology. With this aspect in view, the purpose of this paper is to enlighten and present a thorough literature study that can show how RFID-based lean manufacturing is helpful for handling barriers affecting lean manufacturing in light of previous literature available.

In order to achieve this purpose a systematic literature review is conducted to justify the impacts of RFID technology for handling barriers. The aim of this systematic literature review is to initially find the barriers affecting lean implementation and then to explain the properties of RFID-based lean manufacturing which are highly feasible to handle detected barriers.

An interrelation is generated in this study which provides a clear indication that the properties of RFID carry significant effects to handle detected barriers in the operational, managerial and financial regime of manufacturing companies. The detected barriers that affect lean implementation are company’s cultures, top management commitment, poor employee administration, lack of finances, unbalanced inventory control, unstable customer handling and longer lead times. The properties of RFID-based lean manufacturing like operational visibility, inventory control, production control, minimized lead times and the real-time data information (to facilitate top management and employees on shop floor) are extremely helpful to control these barriers.

The originality of this study is the provision of clarity provided to both academicians and practitioners by citing and utilizing previous research studies which undoubtedly indicates positive impacts of RFID on lean implementation.