Search results

For decades organizational citizenship behavior (OCB) has been of interest to scholars and practitioners alike, generating a significant amount of research exploring the concept of what citizenship behavior is, and its antecedents, correlates, and consequences. While these behaviors have been and will continue to be valuable, there are changes in the workplace that have the potential to alter what types of OCBs will remain important for organizations in the future, as well as what types of opportunities for OCB exist for employees. In this chapter we consider the influence of 10 workplace trends related to human resource management that have the potential to influence both what types of citizenship behaviors employees engage in and how often they may engage in them. We build on these 10 trends that others have identified as having the potential to shape the workplace of the future, which include labor shortages, globalization, immigration, knowledge-based workers, increase use of technology, gig work, diversity, changing work values, the skills gap, and employer brands. Based on these 10 trends, we develop propositions about how each trend may impact OCB. We consider not only how these trends will influence the types of citizenship and opportunities for citizenship that employees can engage in, but also how they may shape the experiences of others related to OCB, including organizations and managers.

This study investigates how two situational elements influence people's propensity to lie about their own performance. We hypothesized that (a) people are more likely to lie when rewarded for doing so, (b) performance pressures at work lead people to lie about their performance, and c) the joint effect of the two elements led to the highest level of lying. Reward and pressure were manipulated in an experiment with 140 participants. The findings support both hypotheses. The results have implications for the manner in which corporations pressure and reward their employees, suggesting that unsavory behavior such as lying is a natural outgrowth of high pressure, high reward work situations.

Optimization of light-emitting diodes’ (LEDs’) design together with long-term reliability is directly correlated with their photometric, electric and thermal characteristics. For a given thermal layout of the LED system, the maximum luminous flux occurs at an optimal electrical input power and can be determined using a photo-electro-thermal (PET) theory. The purpose of this study is to extend the application of the luminous flux equation in PET theory for low-power (LP) LEDs.

LP surface-mounted device LEDs were mounted on substrates of different thermal resistances. Three LEDs were attached to substrates which were flame-retardant fiberglass epoxy (FR4) and two aluminum-based metal core printed circuit boards (MCPCBs) with thermal conductivities of about 1.0 W/m.K, 2.0 W/m.K and 5.0 W/m.K, respectively. The conjunction of thermal transient tester and thermal and radiometric characterization of LEDs system was used to measure the thermal and optical parameters of the LEDs at a certain range of input current and temperature.

The validation of the extended application of the luminous flux equation was confirmed via a good agreement between the practical and theoretical results. The outcomes show that the optimum luminous flux is 25.51, 31.91 and 37.01 lm for the LEDs on the FR4 and the two MCPCBs, respectively. Accordingly, the stipulated maximum electrical input power in the LED datasheet (0.185 W) is shifted to 0.6284, 0.6963 and 0.8838 W between the three substrates.

Using a large number of LP LEDs is preferred than high-power (HP) LEDs for the same system power to augment the heat transfer and provide a higher luminous flux. The PET theory equations have been applied to HP LEDs using heatsinks with various thermal resistances. In this work, the PET theory luminous flux equation was extended to be used for Indium Gallium Aluminum Phosphide LP LEDs attached to the substrates with dissimilar thermal resistances.

The missing employee voice has become a salient topic in China. This paper aims to document the newest developments relating to the topic by reviewing the recent literature on employment relations and employee voice. The findings of this paper suggest that the purposes of and channels for the employee voice in China have been undergoing significant changes. Different stakeholder groups have approached the issue. ‘Democratic management’ in China, the country’s home-grown concept of employee voice, has been resurrected to encourage more effective employee representation. Apart from this top-down influence from the government and All-China Federation of Trade Unions, this paper also identifies the bottom-up approach driven by the workers, and the external influence from the global corporate social responsibility campaign and nongovernmental labour organizations. Based on the review of the newest developments in workplace democracy and the employee voice in China, this paper proposes a stakeholder framework incorporating these developments. The authors also suggest some directions for future research.

A wireless campus environment provides user mobility, as users are no longer tied to fixed locations to access the network. It also offers high network accessibility as network resources remain accessible after office hours. While existing communication applications can work in a wireless network, they are separate applications that often require different devices. This paper describes a personal communications system that integrates various services into a unified platform, providing a one‐stop source for both information access and communication within a wireless campus environment.

For work organizations and their members, establishing and maintaining mutually satisfying employment relationships is a fundamental concern. The importance that scholars attach to employment relationships is reflected in research streams that explore the optimal design of strategic human resource management systems, the nature of psychological contract fulfillment and violation, and the factors associated with achieving person-environment fit, among others. Generally missing from theory and research pertaining to employment relationships is the perspective of individuals who reside at the employee-employer interface – managerial leaders. We argue that, for managerial leaders, a pervasive concern involves the tangible and intangible resource requirements of specific employees. We then provide the groundwork for study of the leader’s perspective on employment relationships by proposing a model that identifies how employees come to be perceived as low versus high maintenance and how these perceptions, in turn, influence leader cognition, affect, and behavior.

The present data illustrate the effectiveness of utilizing theoretically guided models to develop consumer-based micro-segmentation strategies. The results provide marketers with a powerful discriminant function calculated from six variables to profile consumers and make informed decisions regarding promotional content and channel delivery to stimulate processing of marketing communication. The function also enables marketers to carve out casual, moderate, and loyal market segments with 74.3 per cent accuracy utilizing only 18 survey questions.

With the explosive growth of information available on the World Wide Web, it has become much more difficult to access relevant information from the Web. One possible approach to solve this problem is web personalization. In this paper, we propose a novel WUL (Web Usage Lattice) based mining approach for mining association access pattern rules for personalized web recommendations. The proposed approach aims to mine a reduced set of effective association pattern rules for enhancing the online performance of web recommendations. We have incorporated the proposed approach into a personalized web recommender system known as AWARS. The performance of the proposed approach is evaluated based on the efficiency and the quality. In the efficiency evaluation, we measure the number of generated rules and the runtime for online recommendations. In the quality evaluation, we measure the quality of the recommendation service based on precision, satisfactory and applicability. This paper will discuss the proposed WUL‐based mining approach, and give the performance of the proposed approach in comparison with the Apriori‐based algorithms.

Traditional document retrieval techniques are ineffective in finding relevant documents due to a lack of semantic understanding of relevance. In this article, two techniques are described – conceptual clustering and co‐word analysis – aimed at injecting intelligence into the retrieval of documents stored in a citation database. Performance analysis has revealed that these techniques are better than traditional lexical analysis in terms of retrieval speed and accuracy.