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The paper seeks to pursue the understanding of current business‐to‐business e‐procurement practices by describing the success factors and challenges to its implementation in the corporate setting.

Members of the Institute for Supply Management and the Council of Logistics Management were asked to respond to a survey questionnaire. Factor analysis was used to analyze data from valid responses received from 185 firms.

Factor analysis resulted in three e‐procurement success factors (SF):supplier and contract management; end‐user behavior and e‐procurement business processes; and information and e‐procurement infrastructure. Three challenge‐to‐implementation factors (CIF) also emerged: lack of system integration and standardization issues; immaturity of e‐procurement‐based market services and end‐user resistance; and maverick buying and difficulty in integrating e‐commerce with other systems.

A representative sampling design should be used in the future to be able to make claims for generalizable results.

E‐procurement is a very important initiative with significant cost savings potential for firms. This study's findings can guide various stages of corporate implementation efforts.

This study fulfills the need for solid empirical findings on this very important topic that has a direct impact on a firm's bottom line. E‐procurement is still in the early stages of marketplace deployment and guidance is still needed on how to do it right.

Blockchain technology (BCT) can play a vital role in manufacturing industries by providing visibility and real-time transparency. With BCT adoption, manufacturers can achieve higher productivity, better quality, flexibility and cost-effectiveness. The current study aims to prioritize the performance metrics and ranking of enablers that may influence the adoption of BCT in manufacturing industries through a hybrid framework.

Through an extensive literature review, 4 major criteria with 26 enablers were identified. Pythagorean fuzzy analytical hierarchy process (AHP) method was used to compute the weights of the enablers and the Pythagorean fuzzy combined compromise solution (Co-Co-So) method was used to prioritize the 17-performance metrics. Sensitivity analysis was then carried out to check the robustness of the developed framework.

According to the results, data security enablers were the most significant among the major criteria, followed by technology-oriented enablers, sustainability and human resources and quality-related enablers. Further, the ranking of performance metrics shows that data hacking complaints per year, data storage capacity and number of advanced technologies available for BCT are the top three important performance metrics. Framework robustness was confirmed by sensitivity analysis.

The developed framework will contribute to understanding and simplifying the BCT implementation process in manufacturing industries to a significant level. Practitioners and managers may use the developed framework to facilitate BCT adoption and evaluate the performance of the manufacturing system.

This study can be considered as the first attempt to the best of the author’s knowledge as no such hybrid framework combining enablers and performance indicators was developed earlier.

The study aims to focus on the present automation status of the college libraries with an objective to offer enhanced Web-based library service on an affordable virtualization on cloud computing model.

With Infrastructure as a Service (Infrastructure as a Service) delivery model, this study demonstrates how libraries of colleges/smaller institutes could be connected to cloud Library Management System infrastructure through internet or dedicated point-to-point WAN connectivity. The Software as a Service (SaaS) delivery model depicts how college libraries could form library consortium at its own private cloud environment with installation of the required LMS application, database, middleware and other prerequisites.

A cloud-based consortium approach for the college libraries will reduce the cost of purchasing hardware equipment and setting up of infrastructural facilities; relieve libraries of involving additional IT skilled manpower; foster collaborative approach with shared environment and minimise duplication in resource subscription.

To the best of the authors’ knowledge, the present study is the first of its kind in the light of shifting of infrastructure, software and hardware requirements of smaller libraries for cooperative sharing in both IaaS and SaaS cloud platform. The study delineates step by step how college libraries could effectively leverage the cooperative cloud architecture for enhanced library services to reach wider user community.

This study aims to identify and analyse the key determinants influencing customer satisfaction towards online shopping in India.

The literature concerning major attributes of website functionality, perceived usability, perceived usefulness and customer satisfaction in online retailing were reviewed. Data were collected from 365 respondents active in online shopping for examining the constructs. The model was empirically tested using structural equation modelling.

The findings of the study reveal that perceived usefulness and website functionality have a positive impact on customer satisfaction, whereas perceived usability had a significant but negative impact on customer satisfaction.

This research will help online retailers to attract and motivate new customers for online shopping and existing customers to extend it in their daily purchase. Online retailers can improve post purchase satisfaction and eventually increase online customers.

This is one of the preliminary study dealing with customer satisfaction towards online retailing in India. The scale has been extended to include items like satisfaction with cash on delivery mode of payment not included in previous scales. The scale of perceived usefulness has also been deepened by adding time performance, product performance and promotional performance.

Based on data collected over a 15 year period (2000–2015) for 89 countries selected across nine geopolitical regions of the world, the purpose of this paper is to explore the role of economic development and the Hofstede index of national cultures in influencing level of government effectiveness and ICT diffusion; as well as the impact of ICT diffusion on government effectiveness. The level of economic development and a country’s ranking on the E-government index were found significant in explaining ICT diffusion and level of government effectiveness, respectively. But the findings also indicate that only the cultural factors such as Indulgence and long-term orientation (LTO) were quite significant in explaining level of government of effectiveness and ICT diffusion, respectively. The findings conclude that while some cultural factors may provide partial explanations for a country’s level of government effectiveness or ICT diffusion, but for other cultural elements, the path of influence is still unclear and at best debatable. Hence, in light of the growing emphasis placed on it in the literature, the effect of culture is limited and may have been overstated. ICT diffusion, while a necessary tool for administrative efficiency, is only but one piece of a larger puzzle and should be developed in consideration of and in the context of a broader framework of economic development, institutional design and behavioral practices.

This study examines how existing ICT diffusion and infrastructures among a set of 89 countries spread across nine world geopolitical zones has been able to improve their government effectiveness – as measured by their relative scores or rankings on the global “government effectiveness index” over a 15 year period (2000–2015); and also how specific cultural factors may influence the level of ICT diffusion. Drawing data from the United Nations e-Government knowledge database, the United Nations Development Program, the GlobalEconomy.com, as well as other socio-demographic sources, I examine key and associated indicators that influence information technology diffusion and its contributory effects on level of government effectiveness; as well as the impact of national cultures on ICT diffusion.

Overall, the finding from this analysis point to the fact that only two of the Hofstede national culture variables were significant (LTO and Indulgence). The other four national culture variables (Power Distance, Individualism, Masculinity/Femininity and Uncertainty Avoidance) were not. Indulgence has a negative effect on level of government effectiveness, while LTO has a positive effect on ICT diffusion. The other culture variables were not significant in any of the regression models, but they seem to congregate much closer to or around the mean.

This is the only work of its kind that has utilized the seven Hofstede indicators to test for the relationship between culture and technology over a long period of 15 years.

The purpose of this paper is to identify and define the types of organizational alignment – vertical and horizontal; to examine the evidence for the alignment‐performance relationship, and propose research questions and practical implications to advance the theory and practice of managing alignment.

The study is a conceptual examination based on a thorough review of both theoretical and empirical research.

The paper finds that vertical alignment has received considerably more attention in the literature. Studies of horizontal alignment within organizations are less common. When horizontal alignment is studied, the focus tends to be dyadic – between two functional areas. The limitations posed by the dyadic approach suggest gaps in the research and opportunities for future research. As firms grow and diversify, becoming multi‐business organizations, the importance of horizontal alignment will be elevated.

Research on vertical alignment should focus on developing larger sets of moderating variables, such as the morale of the workforce, or the life cycle of the firm or industry. Research on horizontal alignment should explore multi‐point horizontal alignment.

Managers in organizations with multiple strategic business units could use the application questions in the study to assess the state of alignment in their respective units and the organization as a whole.

The paper documents existing literature on the concept of organizational alignment and identifies new opportunities to continue to build and expand the research stream. It also provides a list of application questions that may be used to assess organizational alignment in organizations.

As drones are rapidly transforming tasks such as mapping and surveying, safety inspection and progress monitoring, human operators continue to play a critical role in ensuring safe drone missions in compliance with safety regulations and standard operating procedures. Research shows that operator's stress and fatigue are leading causes of drone accidents. Building upon the authors’ past work, this study presents a systematic approach to predicting impending drone accidents using data that capture the drone operator's physiological state preceding the accident.

The authors collect physiological data from 25 participants in real-world and virtual reality flight experiments to design a feedforward neural network (FNN) with back propagation. Four time series signals, namely electrodermal activity (EDA), skin temperature (ST), electrocardiogram (ECG) and heart rate (HR), are selected, filtered for noise and used to extract 92 time- and frequency-domain features. The FNN is trained with data from a window of length t = 3…8 s to predict accidents in the next p = 3…8 s.

Analysis of model performance in all 36 combinations of analysis window (t) and prediction horizon (p) combinations reveals that the FNN trained with 8 s of physiological signal (i.e. t = 8) to predict drone accidents in the next 6 s (i.e. p = 6) achieved the highest F1-score of 0.81 and AP of 0.71 after feature selection and data balancing.

The safety and integrity of collaborative human–machine systems (e.g. remotely operated drones) rely on not only the attributes of the human operator or the machinery but also how one perceives the other and adopts to the evolving nature of the operational environment. This study is a first systematic attempt at objective prediction of potential drone accident events from operator's physiological data in (near-) real time. Findings will lay the foundation for creating automated intervention systems for drone operations, ultimately leading to safer jobsites.

The purpose in this paper is to develop a systematic literature review aiming to reveal innovation opportunities associated with the thematic collaboration and trust in the reverse logistics field.

The authors adopted a parallel analysis approach segregating the systematic literature review papers in two groups at NVivo®, collaboration and trust in the supply chain and collaboration and trust in reverse logistics, aiming to explore in the first group of papers insights for innovation on collaboration and trust in reverse logistics. The content analysis strategy was supported by the knowledge exchange theory described in Gravier et al. (2008).

Reverse logistics is hardly dissociated from broader sustainable supply chain management approaches, which make all considerations on collaboration and trust designed for such approaches valuable and valid for reverse logistics. Collaboration and trust concepts in supply chain and in reverse logistics contexts are quite similar, while collaboration/trust is mandatory for managing networks in sustainable approaches and in reverse logistics, as well. Downstream and upstream, the chain disruptive innovation business models may be developed between focal companies and returns system third-party logistics providers, fourth-party logistics providers or end-customers, in a business-to-customer collaboration approach. Several collaboration technologies are listed in three perspectives: knowledge sharing, knowledge generation and knowledge implementation.

This study uses a specific protocol for the systematic literature review, and due to inclusion and exclusion criteria, other protocols can provide different results. The strategy of analysis under the knowledge exchange perspective may give a type of result different from other perspectives.

This research systematizes the existing knowledge on the collaborations and trust, which is a priority basis for reverse logistics, providing insights to researchers and practitioners in the area and identifying an agenda for future studies.