How Leadership Styles Impact Enterprise Systems Success throughout the Lifecycle: A Theoretical Exploration

Top management support has been identified as one of the most critical factors to the success of enterprise systems. However, few studies have addressed the issue of what type of top management support is most effective in what phase of the enterprise systems lifecycle. In this study, we argue that effective management support is dependent on the top manager\u27s leadership style and the specific phase of enterprise systems. Given the different challenges resulted from enterprise systems in different phases, and the variety of top management leadership styles, a one-size fits all approach is clearly inadequate. Drawing upon extant literatures, we propose a theoretical framework to clarify the relationship between the two most recognized leadership styles and the four phases of enterprise systems lifecycle. Specifically, we argue that transformational leadership is more effective in the adoption phase, while transactional leadership is more effective in the implementation phase, and a mixed leadership is more effective for the assimilation and extension phases. Our study deviates from the traditional focus on transformational leadership in management literature and breaks new ground in IS literature by highlighting the effectiveness of leadership style in the success of enterprise systems throughout the lifecycle

UNDERSTANDING INDIVIDUAL LEVEL ERP ASSIMILATION FROM A SOCIAL NETWORK PERSPECTIVE: A MULTI-CASE STUDY

Prior research on ERP assimilation has primarily focused on influntial factors at the organizational level. In this study, we attempt to extend our understanding of individual level ERP assimilation from the perspective of social network theory. We designed a multi-case study to explore the relations between ERP users´ social networks and their levels of ERP assimilation based on the three dimensions of the social networks. We gathered data through interviews with 26 ERP users at different levels in five companies. Qualitative analysis was used to understand the effects of social networks and individual interactive learning. We found that user social networks play a significant role in individual level ERP assimilation through interactive learning behaviours among users. We also found five key factors that facilitate users´ assimilation of ERP knowledge: homogeneity (age, position and rank), tie content (instrumental and expressive ties), tie strength, external ties, and centrality. Our research has significant implications for managing assimilation of ERP systems and improving users´ ERP assimilation level in organizations

DEVELOPMENT AND VALIDATION OF AN INSTRUMENT TO MEASURE INDIVIDUAL LEVEL ERP ASSIMILATION

Case evidence has shown the important role of individual level assimilation of ERP technology in realizing the business value of implemented ERP systems. However, empirical research in this area has been constrained by the lack of a validated scale for measuring individual level ERP assimilation. This study address this limitation by first theoretically conceptualizing three key dimensions through a multi-case study and then following a rigorous development process to validate a formative measurement instrument for individual level ERP assimilation. The findings show that individual level ERP assimilation consists of width, depth, and innovation, and the proposed measurement instrument is reliable and meets the validity requirements

Impact of Governance Structure Characteristics of Public-private Partnerships on Smart City Project Success: Evidence from a Multi-case Study in China

Due to the technological and financial complexity and difficulties of smart city initiatives, the local governments usually adopt a public-private partnership model to govern such projects. This study explores the opportunities and challenges of building smart cities through the public-private partnership (PPP) model. Using an exploratory case study methodology, we interviewed participants in building smart city initiatives across China to develop a theoretical model that captures the essence of such a partnership. Case interview data from three major cities in China were utilized. We analyzed the data of 28 interviews with officials and personnel from public, private, and hybrid organizations involved in smart city projects. Finally, we identified and theoretically validated the following research findings: (1) two key components of the success of smart city initiatives; (2) four key governance structure characteristics of the PPP model that enables the smart city success; (3) two key considerations for establishing the governance structure of a PPP model. The theoretical framework we propose herein can be used to understand the current status and provide guidance for future smart city initiatives

Opposite spin accumulations on the transverse edges by the confining potential

We show that the spin-orbit interaction induced by the boundary confining potential causes opposite spin accumulations on the transverse edges in a zonal two-dimensional electron gas in the presence of external longitudinal electric field. While the bias is reversed, the spin polarized direction is also reversed. The intensity of the spin accumulation is proportional to the bias voltage. In contrast to the bulk extrinsic and intrinsic spin Hall effects, the spin accumulation by the confining potential is almost unaffected by impurity and survives even in strong disorder. The result provides a new mechanism to explain the recent experimental data.Comment: 5 pages, 6 figure

Tuning electrochemical catalytic activity of defective 2D terrace MoSe2 heterogeneous catalyst via Co doping

This study presents successful growth of defective 2D terrace MoSe2/CoMoSe lateral heterostructures (LH), bilayer and multilayer MoSe2/CoMoSe LH, and vertical heterostructures (VH) nanolayers by doping metal Co (cobalt) element into MoSe2 atomic layers to form a CoMoSe alloy at the high temperature (~900 °C). After the successful introduction of metal Co heterogeneity in the MoSe2 thin layers, more active sites can be created to enhance hydrogen evolution reaction (HER) activities combining with metal Co catalysis, through the mechanisms including (1) atomic arrangement distortion in CoMoSe alloy nanolayers, (2) atomic level coarsening in LH interfaces and terrace edge layer architecture in VH, (3) formation of defective 2D terrace MoSe2 nanolayers heterogeneous catalyst via metal Co doping. The HER investigations indicated that the obtained products with LH and VH exhibited an improved HER activity in comparison with those from the pristine 2D MoSe2 electrocatalyst and LH type MoSe2/CoMoSe. The present work shows a facile yet reliable route to introduce metal ions into ultrathin 2D transition metal dichalcogenides (TMDCS) and produce defective 2D alloy atomic layers for exposing active sites, and thus eventually improve their electrocatalytic performance

A “Double-Multi” Model for Electromigration of Lithiums and Chlorides in ASR Affected Concrete

Existing reinforced concrete structures experience severe durability degradation when subjected to alkali– silica reaction (ASR) and chloride attack. A special electrochemical rehabilitation treatment, containing lithium compound anolyte, has been developed to drive lithium ions into concrete as well as remove chlorides simultaneously, for mitigating both the ASR-induced cracks and the chloride-induced corrosion. Good performance of introduced lithiums in controlling ASR-induced expansion has already been proved. Unfortunately, the migration mechanism of lithium in concrete under an external electric field is seldom investigated in existing literature. In this study, with help of the “double-multi” model, the efficiency of impregnation of lithium ions and simultaneously the removal of chloride ions through a specific electrochemical treatment are numerically evaluated, which results into the distribution profiles of all typical ionic species. The heterogeneous concrete model examines the aggregate effect, especially on the interaction with lithiums which are supposed to mitigate ASR. The ionic interaction between different species and the electrochemical reaction at electrodes are also considered. Through a relative thorough modelling of multi-phase and multi-species, a systemic parametric analysis based on a series of significant factors during electrochemical treatment (e.g., current density, treatment time, temperature, cathode position and concentration of lithium solution) reveals some important tendencies of ionic electromigration in concrete, which are supposed to guide the field application