http://hdl.handle.net/10397/34 Search the Channel search http://repository.lib.polyu.edu.hk/jspui/simple-search http://hdl.handle.net/10397/5716 Title: Green retailing : construct measurement and its antecedent-adoption-performance relationships<br/><br/>Authors: Tang, Kit Yee<br/><br/>Abstract: The emerging trend of "greening" has led retailers to recognize the importance of integrating environmental management practices into their retail value chain operations. However, prior literature lacks research on the topic of Green Retailing (GR), which is largely unexplored in terms of its construct measurement, adoption, antecedents, and performance outcomes. In this study we aim to (i) establish a theoretical framework to identify the different dimensions and roles of retailers in the adoption of GR, (ii) conceptualize and empirically validate the measures of GR, (iii) identify the motives of firms to adopt GR, and (iv) examine the performance implications of GR adoption. To achieve these objectives, we carried out a study organized in three inter-related stages to obtain answers to address the research issues pertinent to GR. We first conducted an exploratory qualitative study focusing on the GR-oriented approaches and practices undertaken by world-class retailers to explore the phenomenon of GR in the retail industry. We then carried out a quantitative survey study with data collected from 141 retailers in Hong Kong to empirically validate the theoretical measures developed in this study for evaluating GR adoption and to test the hypothesized GR antecedent-adoption-performance relationships. Finally, we performed a qualitative analysis using secondary data from 375 publicly traded retailers in Japan to seek further empirical evidence in support of our findings.; Our results reveal that GR consists of three dimensions: internal-improvement based GR, external-coordination based GR, and supportive-development based GR with a total of ten practices subsumed under these dimensions. The ten practices are green store operations, green transportation, green procurement, green product design, green packaging, green promotion, green after-sales service, green policy, green research development, and green human resource development. We also find that environmental regulatory pressure, customer pressure, supplier pressure, and competitive pressure as perceived by retailers are positively associated with the extent to which GR is adopted by retailers. In addition, we obtain empirical evidence that GR adoption is positively associated with the financial and environmental performance outcomes of the retailers. The findings of this research are useful to researchers striving to come to grips with the important issues associated with GR - its phenomenon, antecedents, dimensions, and impact on firm performance. We provide managerial insights from the theoretical findings to guide practitioners on the ways to design and plan for the greening of their retail activities. This study also provides a helpful reference for policy makers, assisting them in formulating proper environmental regulations and promoting voluntary measures for environmental protection for the retail industry.<br/><br/>Description: 218 p. : ill. ; 30 cm.; PolyU Library Call No.: [THS] LG51 .H577P LMS 2012 Tang http://hdl.handle.net/10397/5542 Title: Technologically new products and value creation : an event study and the moderating effect of knowledge characteristics<br/><br/>Authors: Liu, Xiaojin<br/><br/>Abstract: The development of technologically new products (TNPs), in which advanced technology is incorporated in new product development, is crucial for firms to gain competitive advantage. However, extant literature is limited in providing understanding of the relationship between TNPs and their financial implications. Based on a sample of 475 major innovation awards for TNPs between 1987 and 2006 in the U.S., we examine the financial impact of TNPs. We further investigate how the knowledge characteristics of a firm that develops TNPs moderate the relationship between TNPs and financial performance. We examine three types of firm knowledge characteristics, which are firm's absorptive capacity, knowledge impact and knowledge breadth. Our research is based on objective data from COMPUSTAT and the National Bureau of Economic Research (NBER) patent database. We find support for an overall positive impact of TNPs and reveal that the impact of TNPs on financial performance is stronger when firms have higher absorptive capacity and more impactful knowledge. However, knowledge breadth negatively moderates the financial impact of TNPs. Our research supports a knowledge-based view of new product development - firms with higher absorptive capacity, more impactful knowledge but narrower (instead of broader) knowledge base obtain stronger financial returns from products they develop.<br/><br/>Description: vii, 86 p. : ill. ; 30 cm.; PolyU Library Call No.: [THS] LG51 .H577M LMS 2012 Liu http://hdl.handle.net/10397/5417 Title: Implicit Mann approximation with perturbations for nonexpansive semigroups in CAT(0) spaces<br/><br/>Authors: Li, Xue-song; Yip, T. L.<br/><br/>Abstract: In this paper, we study the convergence of implicit Mann iteration processes with bounded perturbations for approximating a common fixed point of nonexpansive semigroup in CAT(0) spaces. We obtain the Δ-convergence results of implicit Mann iteration schemes with bounded perturbations for a family of nonexpansive mappings in CAT(0) spaces. Under certain and different conditions, we also get the strong convergence theorems of implicit Mann iteration schemes with bounded perturbations for nonexpansive semigroups in CAT(0) spaces. The results presented in this paper extend and enrich the existing literature.; MSC: 47H05; 47H10; 47J25<br/><br/>Description: DOI: 10.1186/1687-1812-2012-145 http://hdl.handle.net/10397/5384 Title: Markovian iterative method for degree distributions of growing networks<br/><br/>Authors: Shi, Dinghua; Zhou, Huijie; Liu, Liming<br/><br/>Abstract: Currently, simulation is usually used to estimate network degree distribution P(k) and to examine if a network model predicts a scale-free network when an analytical formula does not exist. An alternative Markovian chain-based numerical method was proposed by Shi et al. Phys. Rev. E 71 036140 (2005) to compute time-dependent degree distribution P(k,t). Although the numerical results demonstrate a quick convergence of P(k,t) to P(k) for the Barabási-Albert model, the crucial issue on the rate of convergence has not been addressed formally. In this paper, we propose a simpler Markovian iterative method to compute P(k,t) for a class of growing network models. We also provide an upper bound estimation of the error of using P(k,t) to represent P(k) for sufficiently large t, and we show that with the iterative method, the rate of convergence of P(k,t) is root linear.<br/><br/>Description: DOI: 10.1103/PhysRevE.82.031105