Madhukar Dayal

Bio: Madhukar Dayal is an academic researcher from Indian Institute of Management Ahmedabad. The author has contributed to research in topics: Tree (data structure) & Information technology. The author has an hindex of 2, co-authored 3 publications receiving 27 citations. Previous affiliations of Madhukar Dayal include Indian Institute of Management Indore.

Exploring determinants of cloud-based enterprise resource planning (ERP) selection and adoption: A qualitative study in the Indian education sector

Abstract: Cloud-based enterprise resource planning (CLERP) provides scalability, flexibility, and cost-savings. The advantages of CLERP are most prominent in developing economies where access to robust information technology (IT) resources is difficult. However, despite the advantages, diffusion of CLERP in such regions remains low. This study aims to explore the drivers of CLERP selection and adoption by proposing a sociotechnical framework integrating three technology adoption theories: diffusion of innovations, task-technology fit, and extended technology acceptance model. The framework is tested using case study methodology based on semi-structured interviews in three higher educational institutions in India. The findings have important implications for both CLERP providers and clients aiming to enhance the rate of diffusion. The results suggest that vendors should focus on providing cost-effective, reliable, secure, standardized, long-term, convenient, and better quality of service and support to clien...

Multi-processor exact procedures for regular measures of the multi-mode rcpsp 1

Abstract: The multi-mode resource-constrained project scheduling problem (MM RCPSP) is an NP-hard problem representing a generalization of the well-studied RCPSP. Depth-first tree search approach by Sprecher & Drexl (1998) is the best-known exact solution tree search procedure for this problem. In this paper we modify an existing breadth-first algorithm for multiple processors. It is a computer-cluster implementation of the breadth-first procedure which improves the solution time taken for these problem instances.

Road Learnings: Evolution of Public-private Partnerships in the Indian Highway Sector

Abstract: Three decades of public-private partnerships (PPPs) have witnessed significant evolution in policies and practices. However, the critical success factors for PPPs influence their early and late stages differently. Natural experiments provide one of the best settings to identify these differences. This paper exploits one such instance in the context of road project up gradations in India. The fundamentals established by the first road PPP project in India were completely revamped during the re-conceptualization of the project twenty-five years later. Comparing and contrasting the two projects provided evidence of the differences in the influence of critical success factors at the two stages. At the institutional level, the findings reflect an evolution in motivations, maturity in regulatory frameworks, and changes in performance perceptions. Significant differences between the PPP models deployed in the two stages were also found. The government’s willingness to take greater financial and economic risks were found to drive these changes. Upon comparison with the existing literature, this conclusion is indicative of different drivers of change in business models across emerging economies.

Minimally invasive approach to Herlyn-Werner-Wunderlich syndrome with giant endometriotic cyst: a case report

Abstract: Herlyn-Werner-Wunderlich syndrome is a rare congenital anomaly of the Mullerian and Wolffian ductal system, manifesting as a triad of dipelphys uterus, obstructed hemivagina, and ipsilateral renal agenesis. Patients usually remain asymptomatic till menarche and experience progressive dysmenorrhea, suprapubic lump, and/or features of infection (pyometra, pelvic collection, etc.) afterward. We hereby present a case of a young lady with Herlyn-Werner-Wunderlich syndrome with a large endometriotic cyst, likely arising from the right hemiuterus. She presented with dysmenorrhea and progressive abdominal distention for seven years. She was treated by laparoscopic ovarian cyst excision and right hemihysterectomy that relieved her symptoms.

Networking and mobile computing : Third International Conference, ICCNMC 2005, Zhangjiajie, China, August 2-4, 2005 : proceedings

Abstract: This book constitutes the refereed proceedings of the 3rd International Conference on Computer Network and Mobile Computing held in Zhangjiajie, China, in August 2005.The 133 revised full papers and 2 keynote articles presented were carefully reviewed and selected from 662 submissions. They are organized in topical sections on sensor networks, 3G/B3G networks, peer-to-peer systems, caching and routing, wireless networks, multicast, ad hoc networks, algorithms, security, peer-to-peer systems and Web service, traffic and network management, QoS, routing, internet application, TCP/IP and measurement, design and performance analysis, agent-based algorithms, and security algorithms.

What drives cloud ERP continuance? An integrated view

Abstract: The purpose of this paper is to explore the key antecedents of organizational users’ continuance intention of cloud enterprise resource planning (ERP) by the integration of constructs from the expectation–confirmation model (ECM), technology acceptance model (TAM), theory of planned behavior (TPB), task-technology fit and TAM2.,Sample data for this study were collected from end users of cloud ERP working in companies in Taiwan. A total of 560 questionnaires were distributed in the 56 sample companies, and 395 (70.5 percent) usable questionnaires were analyzed using structural equation modeling in this study.,Findings show that while compatibility and output quality are key antecedents of confirmation of expectations toward cloud ERP, compatibility still reveals overwhelming and more indirect impacts on users’ continuance intention of cloud ERP than output quality because output quality has significant but evidently lesser effects on perceived usefulness and perceived ease of use than compatibility.,First, this study contributes to the identification of compatibility and output quality that may reveal deep insights to the task-related factors in understanding users’ cloud ERP continuance greatly driven by their confirmation of expectations toward cloud ERP. Next, the empirical evidence on capturing the ECM, TAM and TPB for completely explaining the antecedents of users’ continued cloud ERP usage intention is well documented. Hence, this study’s findings have significantly shed light on the possible formulation of a richer post-adoption model.

Analysing the adoption of cloud computing service: a systematic literature review

Abstract: The purpose of this paper is to presents an analysis of geographically and disciplinary scattered academic publications of cloud computing (CC) research in information systems. This review aims to understand the research methodology, research frameworks and models, geographical distribution, trends, critical factors and causal relationships associated with cloud computing adoption (CCA).,Systematic-literature-review using natural language processing is conducted to explore the phenomenon. The relevant research studies are extracted from various online databases using quality-assessment-criteria.,The study is a novel attempt to highlight the differences in critical factors for CCA in different country-settings. Further, the research explores the causal relationships among the identified factors. The findings of this 12-year systematic-review contribute by aiding the providers and potential adopters to devise context-specific strategies for the penetration of cloud services and sound adoption decisions (ADs), respectively. The findings also highlight the prospective avenues of research in the domain for researchers. Using the in-depth analysis, conceptual frameworks have been proposed that can assist in exploring the pre-adoption and post-adoption of CC.,This study contributes to CCA research by providing holistic insights into the methodology, research framework and models, geographical focus, critical factors and causal relationships influencing the AD or intention. The review highlights the unexplored emerging research topics in the field of CCA for future research directions.

A hybrid model for exploring the antecedents of cloud ERP continuance

Abstract: Purpose This study aims to propose a hybrid model based on expectation–confirmation model (ECM), DeLone and McLean IS success model and task-technology fit (TTF) model to examine whether quality factors and TTF as the antecedents to user beliefs can affect organizational users’ continuance intention of cloud enterprise resource planning (ERP). Design/methodology/approach Sample data for this study were collected from end-users of cloud ERP working in companies in Taiwan. A total of 370 questionnaires were distributed in the 37 sample companies, and 315 (85.1 per cent) usable questionnaires were analyzed using structural equation modeling in this study. Findings This study’s findings indicated that users’ perceptions of system quality, information quality and TTF all contributed significantly to their satisfaction, confirmation and perceived usefulness (PU) of cloud ERP, which in turn directly or indirectly led to their continuance intention of cloud ERP; that is, the results strongly supported the hybrid model integrating ECM, DeLone and McLean IS success model and TTF model with all hypothesized links being significant. Originality/value Empirically, this study’s research model capturing ECM, DeLone and McLean IS success model and TTF model has significantly shed light on the possible formulation of a richer post-adoption model. Noteworthily, considerably more attention should be paid to the fit between information-related characteristics and cloud ERP users’ work goals and needs, while TTF, based on both system-related and information-related technology characteristics, significantly contributes to users’ satisfaction, confirmation and PU, which together directly or indirectly explain their intention to continue using cloud ERP.

Determinants of big data analytics adoption in small and medium-sized enterprises (SMEs)

Abstract: PurposeThe study challenges the assumption of independence among Technological, Organizational and Environmental (TOE) factors and investigates the influence of TOE factors on Big Data Analytics (BDA) adoption among Small and Medium Enterprises (SMEs). Top management support was proposed as a mediator between technological and organizational factors and BDA adoption. Furthermore, the moderating effect of environmental factors on the association between relative advantage, compatibility, competitiveness, organizational readiness and BDA adoption was evaluated.Design/methodology/approachData were collected from 171 SME manufacturing firms and analyzed using the partial least squares technique.FindingsThe findings confirmed the interrelationships among the TOE factors. The effects of compatibility, competitiveness and organizational readiness on BDA adoption were mediated by top management support. Furthermore, environmental factors moderate the influences of compatibility and organizational readiness on top management support.Originality/valueThe findings contribute to the TOE model by challenging the assumption of independence among TOE factors, and future studies should use this model with more caution and consider the potential relationships between TOE factors.