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An extensive search has shown that no business process reengineering (BPR) method specifically addresses the issue of selecting business processes for reengineering based on the processes’ impact on the firm’s strategic objectives. Focusing on strategic business units (SBUs) within the electronics and electrical components industry, the research reported in this paper develops a generic set of SBU business processes which is used, in conjunction with an existing set of generic strategic objectives, to create a decision model that assesses the performance and improvement potential of each business process with respect to the SBU’s collective strategic objectives. The decision model, which contains both deterministic and stochastic elements, is based upon the concepts of decision tree analysis and influence diagramming. Validation of both the set of business processes and the decision support system has been conducted through field studies at electronics and electrical components companies. The results from these studies have been very promising.

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Chester Street, Aston, Birmingham, 6. The ‘Donald’ Patent Barrel Lifter Truck and Stand, the three‐in‐one appliance. Barrels up to 7 cwts. lifted and transported by one man. ‘Donald’ Patent Barrel Lifter Stands for Oil Stores.

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

In order to allow flexibility in the enforcement of the tax law, the language used is often intentionally vague and ambiguous. This enables the government to implement the intent of the lawmakers in administering that law. However, interpreting these vague and ambiguous laws requires tax professionals to face planning situations that are complex and uncertain. Due to an increase in civil litigation, the importance of tax professionals making defensible decisions has been magnified in recent years. Carnes, et al. (1994) report that tax partners with Big‐Six accounting firms spend about 30 to 45 percent of their time resolving ambiguous tax questions. Therefore, tax professionals could benefit from models or systems (i.e., decision support systems, expert systems, artificial intelligence) that provide decision direction when facing ambiguous tax situations. One such area in which tax professionals must assist their clients is the determination of what levels of compensation are reasonable for owner‐employees of closely‐held corporations (Hagan, et al. 1995).

This paper aims to present a comprehensive review of the laser engineered net shaping (LENS) process in an attempt to provide the reader with a deep understanding of the controllable and fixed build parameters of metallic parts. The authors discuss the effect and interplay between process parameters, including: laser power, scan speed and powder feed rate. Further, the authors show the interplay between process parameters is pivotal in achieving the desired microstructure, macrostructure, geometrical accuracy and mechanical properties.

In this manuscript, the authors review current research examining the process inputs and their influences on the final product when manufacturing with the LENS process. The authors also discuss how these parameters relate to important build aspects such as melt-pool dimensions, the volume of porosity and geometry accuracy.

The authors conclude that studies have greatly enriched the understanding of the LENS build process, however, much studies remains to be done. Importantly, the authors reveal that to date there are a number of detailed theoretical models that predict the end properties of deposition, however, much more study is necessary to allow for reasonable prediction of the build process for standard industrial parts, based on the synchronistic behavior of the input parameters.

This paper intends to raise questions about the possible research areas that could potentially promote the effectiveness of this LENS technology.

In this chapter, the authors build on the voluntary turnover model posited by Allen, Bryant, and Vardaman (2010) with reference to turnover and retention within the United Kingdom. After providing important contextual material about the United Kingdom, the authors explore turnover drivers such as work precarity, as well as the effect of Brexit, which compounds the political and economic uncertainty engendered by the pandemic. Reflecting on the role of external shocks in precipitating withdrawal processes, the authors go on to examine the extent to which job embeddedness impacts on employee turnover, and how alternative opportunities in a UK context may shape the decisions people make to stay with or leave their organizations. Central to our argument is that human resource (HR) practices as perceived by employees play a critical role in shaping attitudes such that people wish to stay in the organization. Cultural values posited by Hofstede and others are likely to significantly impact the way in which employees respond to the HR practices they perceive. Hence, leaders and HR specialists in the United Kingdom need to deploy HR practices which speak to cultural values that stand out in that context, considering that the United Kingdom is characterized by relatively low levels of power distance, low uncertainty avoidance, high individualism and higher than average indulgence.

Taken together, the model provides an overview of key internal and external factors that influence employees’ attitudes at work, their withdrawal behaviors and the ensuing turnover at the organizational-level. The authors conclude by highlighting key research questions raised by the analysis of the model within a UK context, considering where empirical research will add to understanding about turnover and retention in the United Kingdom.

There have been great advances in our understanding of how universities effectively undertake community engagement, with research focused upon understanding community partner perspectives and outcomes (see Andrée et al., 2014; Srinivas et al., 2015; Sweatman & Warner, 2020), and democratic civic engagement (see Hall et al., 2013; Saltmarsh et al., 2009). This chapter builds on these studies to critically examine one university’s capacities to coordinate institutional-level change that supports and advances community-engagement scholarship. A small, rural, undergraduate university in Nova Scotia, Canada, called Acadia University was used as the case study site for this examination. Using an action research case study design, we gathered data from multiple sources within and outside of the University over a three-year period. Through this investigation Acadia’s community-engagement ethos was studied to understand if the University has the assets, resources, knowledge and motivation to create, implement and sustain democratic community engagement initiatives with community partners. From this data, key findings were categorized into three major themes: power and positionality of the University, institutional supports and barriers to engagement, and institutional assessment of community engagement initiatives. This chapter discusses these themes in depth using data from this study and current literature to unpack the practicalities and particularities of an institution committing to a deep, pervasive and integrated community engagement culture. Overall, this study found that Acadia’s community engagement ethos, as it moves towards democratic engagement while navigating systematic internal and external constraints, is diverse and complex. This study contributes to the legitimization of community engagement scholarship more broadly.

It is not surprising that the dominant cognitive frame through which most audiences view climate change is that of an environmental problem. However, this messaging strategy has proven susceptible to counter-attacks, defensing processing, and other cognitive biases. As such, many environmental advocates are switching gears. From Barack Obama to Pope Francis, the environment-as-public-health-concern narrative is increasingly found in climate change messages. This strategy involves making the abstract issue of climate change more concrete by tying it to negative health impacts, like asthma, heat-related illness, and the spread of disease. Understanding why and for whom this strategy is persuasive, particularly in a social media context where users often encounter persuasive climate change messages, can help advance theory and practice.

The purpose of this chapter is two-fold: 1.) Test the effects of climate message frame (damage to nature or damage to public health), message source (liberal or conservative organization), and the use of visual human exemplars (present or absent) in social media messages; and, 2.) Assess the predictive utility of different conceptual frameworks (personification, construal level theory, and moral foundations theory) as explanatory mechanisms for persuasive social media climate message effects. The results of a nation-wide experiment reveal that the use of visual exemplars matters when climate change is framed as an environmental problem, but otherwise message frame, source, and visual exemplar use have little impact on policy attitudes. Further analyses demonstrated that multiple conceptual mechanisms related to the aforementioned theories help explain social media effects on climate change attitudes.