农民对宅基地权利认知及影响因素研究*——以河北省新乐市为例

［目的］通过对河北省新乐市农民在宅基地权力认知及影响因素方面的分析，探究我国农村宅基地制度并提出相关建议。［方法］文章受制度功能可信度理论启发，以河北省新乐市14个行政村为调研对象，探究农民对宅基地相关权利认知情况，同时采用Spearman相关性分析研究影响农民宅基地认知的因素。［结果］调研地自发宅基地流转市场已形成，宅基地制度功能处于社会保障功能向财产功能转变的过渡阶段； 农民对宅基地所有权认知不明晰，但并不影响宅基地市场建立； 在宅基地流转中，农民更关注相互之间信任、村委会保留的记录、流转中形成的“事实产权”； 农民性别、年龄、受教育水平和家庭人口数是影响权利认知的主要因素。［结论］依据制度功能可信度理论充分考虑宅基地制度在现阶段的功能变化，因地制宜； 政府应关注农民的宅基地使用权问题，使其真正成为农民的财产； 应对农村宅基地流转中形成的事实产权逐渐正式化； 应制定年轻人就业帮扶和年长者社会保障等相关政策，避免宅基地流转影响农村社会稳定性。     

Strategies for Improving Codes of Ethics Implementation in Construction Organizations

It is necessary to reconsider the assumptions upon which the process of implementing compliance with ethical programs rests, in both theoretical and practical terms. These assumptions should hinge on organizational enablers that allow embeddedness of codes of ethics in the web of an organization's processes. This article sets out to describe an approach that will facilitate implementation of codes of ethics in construction organizations and a comprehensive literature survey approach is adopted to achieve this. The paper equally employs the application of the European Foundation for Quality Management (EFQM) model as a tool to stimulate ethical behavior in an organization, with the focus on the enabler criterion of the model. The authors discuss organizational enablers in relation to the implementation of ethical codes. The study demonstrates how ethics can be managed in an organization by proposing a framework to enhance codes of ethics embeddedness in the web of an organization. The paper indicates current research gaps and future opportunities for both academics and practitioners.     

Design and development of inventory knowledge discovery system

Inventory management (IM) performance is affected by the forecasting accuracy of both demand and supply. In this paper, an inventory knowledge discovery system (IKDS) is designed and developed to forecast and acquire knowledge among variables for demand forecasting. In IKDS, the TREes PArroting Networks (TREPAN) algorithm is used to extract knowledge from trained networks in the form of decision trees which can be used to understand previously unknown relationships between the input variables so as to improve the forecasting performance for IM. The experimental results show that the forecasting accuracy using TREPAN is superior to traditional methods like moving average and autoregressive integrated moving average. In addition, the knowledge extracted from IKDS is represented in a comprehensible way and can be used to facilitate human decision-making.     

A MCGP decision aid for homebuyers to make the best choice

This study adopts a new approach, the multi-choice goal programming (MCGP), to evaluate houses in order to help homebuyers to find better house based on the residential preferences. According to the function of MCGP, homebuyers can set multiple housing goals with multiple aspiration levels. This increases the flexibility to find a suitable house. Compared with other classical methods such as checklist and analytic hierarchy process, MCGP is more efficient, especially while considering a lot of housing criteria and house alternatives. In order to demonstrate the usefulness of MCGP decision aid for housing selection, a real case study is then provided. Furthermore, ten volunteers are invited to participate in the empirical experiment. The results also validate the effectiveness and efficiency of MCGP decision aid.     

Web users’ behavioural patterns of tourism information search: From online to offline

This paper presents a conceptual framework of Web users’ engagement in tourism information search for a comprehensive understanding of their integrated online and offline search behaviour. The information search experiences are characterised as a process constituting some common elements: prior knowledge and searching experiences, online searching strategies, processing and recording information, barriers to online searching, reasons for ending an online search, summarising information, exchanging information and searching for more information through other sources. Such behaviour goes beyond the scope of information searching and captures the other activities, including information processing, utilising and disseminating. The grounded theory research method is employed as an inductive investigative process in which the authors construct the framework by systematically collecting and analysing data. The aim of this research method is to build a theory. The data sets consist of both semi-structured in-depth interviews with subjects and their field observations based on online searching. A theoretical model incorporating 10 propositions is proposed for future testing.     

An Empirical Analysis of Triple Bottom-Line Reporting and its Determinants: Evidence from the United States and Japan

This paper investigates triple bottom‐line (TBL) disclosures of 50 of the largest US and Japanese companies. Twenty disclosure criteria were developed for each of the TBL disclosure areas: economic, social, and environmental. Disclosure information was examined in annual reports, stand‐alone reports, and special website reports. Regression analysis was used to examine empirically the determinants of TBL disclosure practice. Our results indicate that, for total TBL disclosure (combining economic, social, and environmental categories), the extent of reporting is higher for firms with larger size, lower profitability, lower liquidity, and for firms with membership in the manufacturing industry. Further analysis indicates that the results for the total TBL disclosure are primarily driven by non‐economic disclosures. We also find that the extent of overall TBL reporting is higher for Japanese firms, with environmental disclosure being the key driver. This result could be attributed to the differences in national cultures, the regulatory environment, and other institutional factors between the United States and Japan.     

ERM crisis in retrospect: What if a European central bank had been in existence before 1992?

This paper explores whether policy coordination or a single monetary policy implemented earlier would have kept the U.K. in the process of European monetary integration. On the basis of the pre-ERM crisis empirics by Douven and Plasmans (1996), a counterfactual game simulation approach is used, and five scenarios are established for comparison with the actual historical records. The final answer is negative.     

Estimating demand curve in the Korean VoIP telecommunications market

The VoIP (Voice over Internet Protocol) market in Korea is showing rapid growth since domestic carriers initiated the service in 2006. These carriers are now seeking new revenue sources from various convergence services and are increasing investment into VoIP. In particular, local exchange carriers (LECs), formerly reluctant to invest in technologies that would cannibalize their local telephone revenue, have started to invest in VoIP, in recognition of the current convergence of media and the telecommunications industry, as well as in the face of intensifying competition. In this study, we determined that VoIP call rates and landline telephony call rates were the most important factors affecting VoIP call demand, in addition to network externality. We also verified that landline telephony is no longer a supplement to VoIP, but rather, a substitute that has considerable influence on VoIP call demand. Empirical evidence is expected to be considered in policy decision making on current issues in the IT industry, such as access prices or competitiveness assessment. The current empirical analysis on the Korean VoIP industry and the adherence to lessons learned from policy enforcement should provide valuable information to countries seeking to develop their own VoIP industries, as well as to businesses developing new strategies based on the VoIP market.     

Technology evaluation in Taiwan's technology industries: Strategies, trajectories, and innovations

Technology evaluation, as an organizational process, is the essential ability to comprehend the values of technologies very soon after they emerge. Meanwhile, the technology evaluation process is inevitably influenced by the firm's industrial context, such as its technological trajectory. This study defines technology evaluation strategy in terms of the processes, methods, and participants involved, and uses this definition as a taxonomy to explore different types of technology evaluation strategies. A survey on the technological industries is conducted to explore types of technology evaluation strategies and their relationships with the advantages of different types of innovation under the effects of different technological trajectories. The survey identifies four types of technology evaluation strategies, namely, those of the flexible executive strategist, the emergent executive intuitionist, the deliberate quantitative strategist, and the deliberate consensual strategist, are identified. This study has found that certain types of technology evaluation strategies have better innovation performances than the others. The patterns of technological trajectories are also found to influence a firm's technology evaluation strategy and the advantages of certain types of innovations. The established explanations of the relationships among the technological trajectory, innovation type, and technology evaluation strategies may guide technology businesses to develop a better technology evaluation capability. The theoretical framework developed in this research enriches the strategic management literature with a new taxonomy for technology evaluation strategies.