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Cloud computing is rapidly becoming the new norm of doing business. Lately, the extent of virtualization has enabled full-fledged cloud solution to become affordable, quantitatively and/or qualitatively. The purpose of this study is to explore the former in detail. In this paper, implementation of cloud-based services in the financial services, intermediaries and banking industry where security has always been the greatest concern are studied through actor-based stakeholder modelling. Drivers for adoption, benefits and trade-offs and challenges have been discussed in detail through a hypothetical comprehensive case study of a bank.

An actor-dependency-based technique for analyzing and modelling requirements prior to changes and charting out roadmap and rationale behind it all has been used. Through the use of i* modelling, dependencies and relationships between various stakeholders have been studied. Further, how decision makers in the financial services industry evaluate, consolidate and finally migrate to a new architecture is also explored.

Two hypothetical use cases on a hypothetical bank referred to as “The Bank” illustrate the technique and possible roadmap for implementation.

To the best of knowledge in the public domain, no similar work has been carried out with the perspective of modelling stakeholders and change management configuration in the financial services using cloud. This approach is valuable for augmenting technological advancements with business insights and spotting value in synergies of the sectors whenever and wherever apparent.

This study aims to identify and rank the key success factors linked with digitalization in the Indian construction sector. Because the construction firms in India are in the early stages of implementing digitalization in their operations, it provides a framework from which they may focus on the effectiveness of digitalization.

This research study examines 12 success factors related to digitalization in construction, which are derived from various sectors. Furthermore, experts from the construction industry and academia have validated these factors with respect to the Indian construction sector. The multi-criteria decision-making techniques are further used to examine the interrelationship, ranking and weightage of digitalization success. Finally, the success factors are validated through a questionnaire-based empirical study followed by ranking using a t-test. The results from both approaches (company-specific and generalized) are compared and discussed.

This research identifies that selecting appropriate digital methods and techniques is a critical success factor as far as digitalization in the Indian construction scenario is concerned. Besides that, continuous monitoring and control in digital implementation significantly impact other factors.

While similar results are obtained from approaches adopted in the study, a few success factors appear to differ in terms of their ranking position. Further studies can explore the finer details that can explain the behavior pattern. This study can also be extended by assessing the structural relationship among the identified factors that can throw more light on the dynamics of the continuation of digitalization in construction which can further help in formulating policies or digitalization rollout.

The outcome of this study sheds light on construction business knowledge by stressing key success elements connected to digitalization in construction processes in the Indian construction sector. Moreover, this study shows that the success of digitalization in construction is similar to that of transformation in the information technology industry, where adopting suitable digital methods and techniques plays a vital role in the transformation process.

Despite the multiple benefits of construction digitalization, limited research focuses on digitalization success factors, making this study unique. Furthermore, this study demonstrates that integrating Fuzzy decision-making trial and evaluation laboratory and maximum mean de-entropy approaches may be used to successfully prioritize success factors in the nascent stage of construction digitalization.

Many organizations failed to generate profits after investing considerable money and time in Enterprise Resource Planning (ERP) systems. This study, therefore, sought to identify the challenges encountered by pharmaceutical firms during the post-implementation of ERP systems.

A case-based study followed by general survey-based research was carried out in pharmaceutical firms to determine the critical post-implementation challenges of ERP systems. DANP (DEMATEL-based ANP) and Wilcoxon Signed Rank test were used to find the causal/critical challenges and rank them.

After analyzing a pharmaceutical case company and conducting a general survey among pharmaceutical companies, statistical analysis was performed to identify the most significant challenges, namely, “Inefficient troubleshooting mechanism”, “Lack of training during post-implementation stage” and “Difficulty in identifying invalid data when entered into the ERP system”. Furthermore, organization-wide challenges are considered to be the most important.

The paper identifies the challenges faced during the post-implementation phase of ERP systems. This work brings out the issues with ERP systems' performance after their implementation, which is related to the quality of the ERP systems. This work will support the risk identification and mitigation during ERP implementation to eradicate the problems after its implementation. This work may trigger the ERP system developers to improve its features and performance for better manufacturing and supply chain management system in pharmaceutical firms.

This study is uniquely conducted in pharmaceutical firms to study the benefits and challenges of adopted ERP systems. A pilot case study served as the foundation for the generalizability of other pharmaceutical firms' findings through a non-parametric test.

This research paper aims to analyze the critical barriers to implementing digitalization in the Indian construction industry as Indian construction companies are lagging in the implementation of digital technologies in the work environment.

In this research paper, a qualitative research approach is adopted, and multiple detailed interviews are conducted with industry and academic experts. Further, multi-criteria decision-making (MCDM) techniques are used to finalize the prioritization among various alternatives. The fuzzy-decision-making trial and evaluation laboratory (Fuzzy-DEMATEL) and interpretive structural modeling (ISM) techniques are employed to find the exact relationship among the identified alternatives.

This study identifies 14 critical barriers from an extensive literature review and multiple interviews with industry professionals, and further driving and critical barriers are identified.

In this research paper, an exploratory study with a limited number of respondents from a large Indian construction company is carried out. Further, a detailed longitudinal analysis can be done to assess the subjectivity of the participants with more advanced statistical tools. However, this research discusses several points pertaining to the implementation of digitalization in the construction industry. The research further identifies the critical barriers to digitalization in the Indian construction industry.

The finding of the study has two-pronged implications. First, it provides a road-map to the construction industry by highlighting the engagement of top management as the key focus area for successful digitalization. Second, the finding also shows similarity of the digitalization process to the adoption of process improvement techniques like lean and total quality management (TQM), wherein the top management plays a crucial role in ushering in the implementation of a disruptive change.

The research is unique in two ways. First, this is one of the very few attempts to understand digitalization in the Indian context. Second, the research also demonstrates that the combination of fuzzy DEMATEL and ISM techniques can be successfully employed in the emerging field of construction digitalization research.

Use of cloud-based enterprise resource planning (ERP) services equips an SME to forego the requirements of high financial budget, IT infrastructure, and trained IT personnel as it is required for on-premise ERP solution. The purpose of this paper is to analyze the organizational and technological factors as well as the factors that concern the performance of cloud service provider. These concerns are known as extrinsic factors and they are compliance, network, and information security. This study links the organizational and technological factors of SMEs and the extrinsic factors of cloud vendor for the successful implementation of cloud ERP.

Resource dependence theory (RDT) was used to understand the relationship of SMEs and cloud service provider. Structural equation modeling was employed in analyzing the data of 208 SMEs that were collected through a survey.

The empirical analysis supports the RDT as the critical success factors of the SMEs have a positive relationship with the extrinsic factors (compliance, network, and information security) during the cloud ERP implementation.

The data collected in this study is from India and this acts as a limitation as the result might not hold true for other countries and regions. Also, the data collected are cross-sectional and only represent the perspective of the respondents at the time of filling the questionnaire.

This paper attempts to bring out a relationship between SMEs and cloud service provider for the successful implementation of cloud ERP.

Indian construction firms are falling behind in the use of digital technology in the workplace, and this study aims to give a framework and assess the role of enablers in the implementation and continuing digitalization of the Indian construction sector.

An exploratory qualitative research technique is used in this article, and multiple detailed interviews and surveys are done with professionals from the industry and academia. To conclude the significance and relevance of the different constructs and indicators, the partial least square-structural equation modeling (PLS-SEM) approach is used.

Barriers are essential enablers for effective implementation, while success factors are important drivers for the successful continuance of digitalization in the construction sector. However, stakeholders' perceived benefit has a substantial role in both implementation and continuance.

In this research paper, the scope of this investigation for a generalized exploratory study is restricted to construction firms within India. Further, a rigorous longitudinal study may also be performed to examine the subjectivity of the responses in order to ensure digital continuation. This study identifies limited manifest indicators. Additional indications, however, may be included based on the other company's resources, structure and geographic location.

The study's findings have two implications. In the beginning, it gives a direction to the construction sector by highlighting the framework in which implementation and continuance both should have to be executed, and this is the critical area for the successful continuance of digitalization in construction. Second, the research shows that the digitalization process is similar to the adoption of innovation, in which the deployment and persistent use of the new technology are important for facilitating the transformation.

In two respects, the study is distinctive. To begin, this is one of the limited efforts to comprehend digitalization from the Indian perspective. Second, the study reveals that the PLS-SEM approach can be effectively used in the developing subject of the construction digitalization concept.

Increasing pressure from government and consumer to be environmentally conscious has led firms to focus their attention on the assessment and controlling the adverse impacts their operations have on the environment. The current study focuses on identifying the factors and their relative importance in the implementation of Green Supply Chain Management (GSCM) process.

The factors influencing the GSCM are ranked from most important to least important using a novel method of ranking relying on rough sets theory. Opinions on the importance of the factors are gathered from the experts from industrial, environmental, and societal domains.

Involvement of government in promoting the importance of green practices in organizations and societal insistence of being environmentally conscious are the factors that demonstrated maximum potential in establishing a strong GSCM framework.

This study aids the management to discover important factors for the establishment of a strong GSCM framework. This encourages the management to follow and apply green practices in operations. Also, it sheds light on the current situation of environmental awareness in the Indian construction industries.

This paper adds to the existing literature on identification and ordering of factors for GSCM by introducing a novel method of ranking based on Rough set approach. The method includes the preference information of the decision makers to yield the final ranking of the factors.

The purpose of this paper is to propose a practical framework to measure the safety performance of workers in the Indian construction industry. The key safety performance indicators are identified and ordered on the premise that the higher order assignment of an indicator implies a strong indication of an effective safety performance.

Various indicators of safety performance in the construction industry were identified from extant literature review combined with author's personal viewpoint. The identified variables were inquired for appropriateness for the Indian construction scenario by consultation with experts. Fuzzy Technique for order preference by similarity to ideal solution (TOPSIS) technique was considered for the ranking of the indicators from most to least important.

The most important highlight of the study was the importance of the role of management by participating in informing workers about the safety rules and compliance toward safety measures. Proper and timely safety training to the workers and equipping them with sophisticated safety equipment for daily activities is perceived to be highly important in ensuring a safe and healthy workplace environment. Controlling the absenteeism rate reduces the burden of extra work on the employees, thereby, encouraging safe work-related behavior.

Senior management should make safety induction programs compulsory at the time of joining of the employees. The guidelines for safety practices, rules and information about the safety equipment should be properly documented and arranged in safety manuals. Periodical drills involving visual demonstration of the safety practices should be followed to ensure safety at workplace.

The purpose of this study is to investigate the influence that technological, environmental and organizational factors have on the rate of Internet of Things (IoT) adoption within the logistics industry. In addition, the moderating effect that the risk factor has on the technological, environmental and organizational factors regarding the implementation of IoT in logistics.

For the purpose of testing the models and hypotheses, a survey was carried out in order to collect the responses from currently employed individuals at various companies working in the field of logistics or IoT. For the purpose of analysis, the authors made use of the partial least squares structure equation model (PLS-SEM) technique.

Findings of this study concluded that technology- and environmental-related factors significantly affect the adoption of IoT in logistics, while risk acts as a moderator for the technological-related factor only in the adoption of IoT in logistics.

The relevance of the authors' study lies in the growing importance of IoT in logistics and the need for logistics companies to understand the factors that impact the adoption of IoT in their operations. By identifying and analyzing the factors that influence IoT adoption in logistics, the authors' study provides valuable insights that can help logistics companies make informed decisions about whether and how to adopt IoT.

The research will help organizations make strategies for the successful adoption of IoT and ease the lives of all the stakeholders.

In this research, the authors attempted to find the factors that influence the adoption of IoT in logistics management. The influence of the technological, environmental, organizational and risk-related factors on the adoption of IoT in logistics management was studied. The moderating effect of risk over these factors on the adoption of IoT in logistics was also analyzed. This is original work and has never been done earlier.

The purpose of this paper is to identify the critical challenges in the implementation of cloud enterprise resource planning (ERP). The challenges identified were customization, organizational change, long-term costs, business complexity, loss of information technology competencies, legal issues, integration, data extraction, monitoring, migration, security, network dependency, limited functionality, awareness, performance, integrity of provider, perception, and subscription costs. Here the small and medium enterprises (SMEs) and large organizations were differentiated with respect to the challenges identified. This paper also suggested ranked lists of challenges both for SMEs and large organizations.

An online survey was conducted and data of 93 respondents were analyzed. Exploratory factor analysis and one-way analysis of variance (ANOVA) was used to statistically test the data. Here the SMEs and large organizations were differentiated with respect to the challenges identified.

This study shows that SMEs and large organizations differ from each other for most of the challenges except business complexity, integration, monitoring, security, limited functionality, performance, and integrity of provider. Also from the ranked list of challenges in cloud ERP, security was the top concern for both SMEs and large organizations.

The findings may help organizations to get a broad idea about the challenges which are critical for the implementation of cloud ERP.