Union‐division: on the paradoxes of purpose and membership scope in union mergers

Union mergers raise central questions about a union's raison d'être and the range of constituents it can serve effectively. Whereas the challenges posed by union purpose and scope of membership have long engaged researchers, few studies have fleshed out the contradictory issues that engage committed members and leaders during a merger. We argue that in mergers, fundamental themes in unionism intersect in paradoxical ways. We analyse a merger of tertiary education unions in New Zealand and situate its debates within a changing context for industrial relations. The case provides insight into the tensions inherent in union mergers by addressing the drivers for integration and differentiation as well as the role of leaders in shaping these. The findings elucidate paradoxical dynamics inherent in mergers: the paradox of purpose confronts the tension between industrial and craft unionism and the paradox of membership scope considers critical mass and communities of interest. The conclusion reflects on identity, leadership and context during mergers and poses contributions to research and practice.     

Choosing options for products: the effects of mixed bundling on consumers’ inferences and choices

For product categories such as cars, computers, vacation packages, and new homes, consumers usually choose not only the product itself, but also various options for the product. Sellers decide how to present these options to consumers, and they often sell options both individually and in bundles (mixed bundling). In this research, we examine how mixed bundling affects consumers’ inferences about the options and choices among the options. We demonstrate that as long as the seller’s motives for bundling options are not perceived to be negative by consumers, options offered both individually and in bundles are perceived to be more important and are more likely to be chosen than options offered only individually.     

Globalization and tax policy

Globalization is thought to reduce the ability of governments to collect taxes. If labor and capital can move between jurisdictions, then attempts to tax these factors will lead to a “vanishing taxpayer” as factors flee from high- to low-tax regions. More broadly, globalization suggests that there will be some convergence in tax rates across countries. This paper questions this view by examining the impact of globalization on taxation using a two-country, two-factor, two-good model. In particular, we ask how globalization, measured by increased international factor mobility, affects the ability of governments to tax factors. Our quantitative analysis indicates that, while increased mobility reduces revenues to some extent, governments still retain significant ability to collect taxes.     

Exploring the role of goal theory in understanding training motivation

A model to test conceptions from goal theory within an existing framework of training motivation was developed and tested with employees participating in training in a non‐profit organization. It was hypothesized that goal orientation ('distal factors’) along with self‐efficacy, expectancy and valence (‘proximal factors’) would predict goal intentions as well as training outcomes such as affective responses to training, perceptions of training utility and intention to transfer or use the training provided. Results revealed that goal orientation predicted a significant proportion of variance in the proximal antecedents (valence (33 per cent), expectancy (39 per cent) and self‐efficacy (31 per cent)) whereas the proximal antecedents explained 43 per cent of the variance in goal intentions. In turn, goal intentions were related to training outcomes (affect (b = 0.7), utility (b = 0.6) and transfer intention (b = 0.5)). Goal intentions mediated the relationship between proximal antecedents and training outcomes, providing evidence that goal intentions play a pivotal role in the causal path from proximal factors to training outcomes. Valence alone was found to be a significant mediator of the relationship between goal orientation and goal intentions.     

How behavioral decision research can enhance consumer welfare: From freedom of choice to paternalistic intervention

Decision-making researchers have largely focused on showing errors and biases in consumers' decision-making processes without paying much attention to the social welfare and policy implications of these systematic behaviors. In this paper, we explore how findings and methods in behavioral decision research can be used to help consumers improve their decision making and enhance their well-being. We first review select findings in behavioral decision research to explain why consumers need help in decisions, and based on these findings, suggest various interventions that could be effective within the scope of libertarian paternalism. Ethics and effectiveness of the interventions are also discussed.     

Brand-embedded interaction: a dynamic and personalized interaction for co-creation

Recognizing the importance of timely access to market knowledge for successful new product development (NPD), extant research has theoretically argued and empirically shown the value of consumer co-creation during the NPD process. While most research views consumer-generated content as definite or fixed, this paper reveals how firms can enhance the value of consumer-generated ideas by facilitating the exchange of relevant information during co-creation. The authors introduce brand-embedded interaction as a process that enables consumers to generate new product ideas that not only reflect user needs but also align with the brand’s goals and capabilities. Results from two quasi-field experiments using Twitter show that a higher degree of dynamic interaction and personalization during co-creation enables consumers to generate more constructive new product ideas or ideas that are valuable to both consumers and firms. Results offer important implications for both theory and practice regarding co-creation and new product development.     

Tourism's contribution to the economy of Kenya

Between 1963 and 1980, tourism was one of the top three domestic exports of Kenya, along with coffee and tea. In evaluating an export industry, its linkages with other sectors of the economy, its import content, and its role as a source of domestic income and employment should be considered. This paper attempts such an evaluation of Kenya's tourist industry. Between 1968 and 1976, linkages between the tourism sector and domestic agriculture and food processing were improved. The tourist industry was not particularly import intensive in terms of intermediate goods when compared to the economy as a whole. Employment in and wages paid by the tourist industry were below what is expected when compared to tourism's share of GDP.     

The impact of state economic differentials on household welfare and labor force behavior

This paper calculates state-specific income expectations for low-income households, using a simultaneous model of household labor force and welfare participation decisions. A variety of simulations indicate the interlocking effects of existing state differences in welfare, wages and taxes on work/welfare choices and income. Significant differences among similar households in different states occur. Equalization of welfare benefits eliminates some but not all of these differences, but generates potentially serious policy problems for the states.     

Cost-effectiveness of targeted screening for the identification of patients with atrial fibrillation: evaluation of a machine learning risk prediction algorithm

Abstract

Aims: As many cases of atrial fibrillation (AF) are asymptomatic, patients often remain undiagnosed until complications (e.g. stroke) manifest. Risk-prediction algorithms may help to efficiently identify people with undiagnosed AF. However, the cost-effectiveness of targeted screening remains uncertain. This study aimed to assess the cost-effectiveness of targeted screening, informed by a machine learning (ML) risk prediction algorithm, to identify patients with AF.

Methods: Cost-effectiveness analyses were undertaken utilizing a hybrid screening decision tree and Markov disease progression model. Costs and outcomes associated with the detection of AF compared traditional systematic and opportunistic AF screening strategies to targeted screening informed by a ML risk prediction algorithm. Model analyses were based on adults ≥50?years and adopted the UK NHS perspective.

Results: Targeted screening using the ML risk prediction algorithm required fewer patients to be screened (61 per 1,000 patients, compared to 534 and 687 patients in the systematic and opportunistic strategies) and detected more AF cases (11 per 1,000 patients, compared to 6 and 8?AF cases in the systematic and opportunistic screening strategies). The targeted approach demonstrated cost-effectiveness under base case settings (cost per QALY gained of £4,847 and £5,544 against systematic and opportunistic screening respectively). The targeted screening strategy was predicted to provide an additional 3.40 and 2.05 QALYs per 1,000 patients screened versus systematic and opportunistic strategies. The targeted screening strategy remained cost-effective in all scenarios evaluated.

Limitations: The analysis relied on assumptions that include the extended period of patient life span and the lack of consideration for treatment discontinuations/switching, as well as the assumption that the ML risk-prediction algorithm will identify asymptomatic AF.

Conclusions: Targeted screening using a ML risk prediction algorithm has the potential to enhance the clinical and cost-effectiveness of AF screening, improving health outcomes through efficient use of limited healthcare resources.     

A discussion of “Inter-industry network structure and the cross-predictability of earnings and stock returns”

Aobdia et al. (Rev Account Stud, 2014) view the economy as a network of customers and suppliers. Using the 1997 input–output trade flow data from the Bureau of Economic Analysis to model the inter-industry network, they examine whether an industry’s position in the network, in particular, its “network centrality,” affects the transmission of information and economic shocks. They find that, compared to the accounting performance and stock returns of noncentral industries, those of central industries are explained by aggregate risks to a greater extent and are more highly associated with the contemporaneous and future performance of their linked industries. These findings suggest that network centrality matters—it plays an important role in how economic shocks are transmitted within the economy. The question of why network centrality matters, however, remains unanswered. A fruitful avenue for future research is to explore the origin of shocks to shed light on the fundamental question of whether sectoral shocks can aggregate into macro shocks.