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This paper investigates how individuals determine their tax morale levels and tax compliance decisions. Using a questionnaire survey and a multivariate tests procedure, the paper revealed that tax evasion is morally acceptable in Jordan under some circumstances, indeed there could be an affirmative duty to evade taxes since the government is perceived to be highly corrupted. The findings also show that while the extent of the governmental corruption has a positive (negative) effect on tax non-compliance (tax morale), the efficient expenditure of governmental tax revenues has a negative (positive) impact on tax non-compliance (tax morale). The individuals’ tax non-compliance decisions are likewise positively affected by the tax rates and by the taxation system’s being perceived as unjust, but decline with the increase of audit rates and the subsequent penalty rates. The degree and effectiveness of these determinants are dependent on the individual’s level of risk aversion, financial constraints and the surrounding referent groups. The results also confirm that individual factors play a significant role in determining the level of tax morale. Overall, the tax morale level and the compliance decision of an individual are greatly influenced by gender, age, educational level, occupational status and religious background.

Nowadays, technological development makes activities easier to carry out, one of them is marketing work. Various marketing activities, both small and large sectors, use technology in their development, including SMEs. The content marketing strategy will further increase the growth rate of buying interest in products offered by SMEs. Content marketing is a strategy where marketers plan, create, and distribute content to attract targeted audiences and drive them to become customers. Although a content marketing strategy is important, not all SMEs use digital marketing in running their business. Being left behind in managing content marketing strategy is due to less reliable resources in mastering technology. SMEs are still required to master information technology to expand a broader market.

The purpose of this chapter is to analyze the impact of public agricultural Research and Development (R&D) investments on agricultural productivity and long-term food security to derive policy recommendations. The methodological approach is based on the application of the state-of-the art Computable General Equilibrium (CGE) model to R&D. By endogenizing R&D in global CGE models, it is possible to assess the impact of different public R&D policies on the food availability and food access of food security. This study found that R&D investments bring positive effects on the food access dimension of food security, particularly in places such as Sub-Saharan Africa where prices are expected to grow significantly by 2050, as agricultural land becomes scarcer and more expensive. Doubling the R&D intensity would soften the land constraints and substantially decelerate food prices, thus preventing the deterioration of living standards of rural households and leading to a gain in daily caloric consumption. The impact of alternative agricultural R&D policies on the various dimensions of food security has not been analyzed using a CGE framework, which enables capturing both the benefits and costs from R&D investments. Modeling the dynamic accumulation of R&D stocks makes it possible to analyze the effects of R&D on food security over time.

Distance learning has proliferated significantly in the last 20 years. This chapter considers some of the issues and implications when teaching and learning moves from an in-person to a distance mode. It begins with a brief history of distance learning, considering both the technologies used and the dominant pedagogical approaches employed. This is followed by a survey of the impact of Michael Moore's theory of transactional distance, which considered the consequences of separating the learner from peers and instructor. Contemporary work on Moore's contribution includes transaction and participation, activity theory, and transactional presence. A second major aspect of distance learning has been the attempt to introduce social presence into learning environments. The history of social presence is explored, as are its levels and consequences for the learner. Contemporary aspects of social presence reviewed include communities of inquiry. While Web 2.0 has spectacularly resulted in connectivity, it remains unclear as to whether this automatically resulted in more strongly connected learners. Connectivist approaches are considered and distinctions made between technological connectivity and pedagogical engagement. It is argued that the full and exciting potential of Web 2.0 in distance learning requires a commitment to the distanced learner, balancing learner autonomy and teacher presence, promoting meaningful social engagement, and meeting the specific needs of the distance learner.

Organizational studies of time tend to be done by academic researchers rather than practitioners. This chapter builds on academic research to provide a practitioner perspective by reviewing time situated in theory and constructing two phenotypes: timescapes of business and social time. These timescapes are defined by six dimensions, each with a social and business time parameter. Organizational business and social timescapes have different functions and applications. Timescapes, with their concomitant dimensions and sets of parameters, are used differently by senior managers, middle managers, and entry-level managers. Three multi-level approaches (self, dyadic, and social relationships), composition theory, and compilation theory confirm these three managerial timescape usages. After a review of the theoretical bases of the timescape constructs and a brief discussion of the grounded, anthropological, research methodology used in the study, this chapter applies timescape theory and models to an extended time case study of the Procter & Gamble Company that frames the company's timescape understanding and use from a practitioner's view.

Purpose – This chapter investigates the role that mandatory genetically modified (GM) labeling versus voluntary labeling has played in the split between those countries with small GM markets and those with large GM markets.

Methodology/approach – Data on product introductions and other market evidence are used to examine market outcomes and identify the likely drivers of GM market bifurcation.

Findings – Labeling has negligible effects on consumer choice or on GM differentiation costs and therefore does not explain the split in GM market outcomes. Other factors have driven market outcomes: namely, consumer confidence in government and the safety of the food supply, competition among manufacturers and retailers, market momentum, and most importantly, the affordability of a non-GM strategy. Ultimately, a non-GM market strategy is feasible only if consumers are willing to cover the additional costs associated with non-GM production and marketing. The two elements composing the cost/price wedge between GM and non-GM products – the cost-reducing benefits of the GM technology and the costs of differentiating non-GM products – therefore play an important role in market outcomes. In the mid-1990s, when producers, manufacturers, and retailers were determining their strategies, neither element was very large. As a result, both GM and non-GM marketing strategies were economically feasible.

Practical implication – Regardless of the labeling regime, changes in the cost/price wedge between GM and non-GM products could change the mix of GM and non-GM products on the market.

Originality/value of paper – This analysis extends the literature by focusing on the impact of labeling regime on both consumer behavior and the cost/price wedge between GM and non-GM products.