Self-concept,individual characteristics,and counterfeit consumption: Evidence from an emerging market

The study draws on a sample of over 350 consumers from 10 department stores in an emerging market where counterfeit products are available in abundance and there is a huge demand for such goods. The findings reveal that interdependent and independent self traits significantly affect individual characteristics, that is, susceptibility to normative influence, readiness to take social risk, and status acquisition (SA), which in turn influences counterfeit purchase intention. It was discovered that such individual characteristics play a mediating effect on the self-concept—purchase intention relationship and that high degrees of interdependent self traits positively affect consumers' purchase intention. The study adds to the theory of reasoned action (TRA) by incorporating SA variables into the TRA framework and discovers their significant influence on purchase intention. Some novel insights surrounding counterfeit consumption in an emerging economy context are presented and several implications are extracted to help practitioners appeal to such individual characteristics for combating counterfeit consumption.     

Consumer acceptance of delivery drones in urban areas

The concept of drone usage for commercial purposes by retailers worldwide is still in its early stages, and unheard of in Pakistan. Moreover, research on consumer perceptions regarding commercial drones in Pakistan and around the world is very sparse. The purpose of this paper is to gauge the level of acceptability and concerns Pakistani consumers may have in accepting the drone delivery technology. This study offers new insights that retailers and delivery companies can use to penetrate target markets in early stages. The authors have executed a quantitative analysis through the means of a survey. A sample of middle‐ and upper class residents of two cities in Pakistan was selected on which purposive sampling technique was applied. A total of 307 responses were collected and these responses were analysed in SPSS. Various analysis techniques were applied including Cronbach’s alpha, the Pearson correlation analysis, regression analysis and cluster analysis. The results show that consumers in Pakistan perceive privacy issues as a primary concern in relation to drone delivery. The results also throw light on the profile of consumer segments that can be targeted by retailers who may desire to use the drone delivery technology in the near future. Using these findings, retailers using the drone delivery mechanism can address consumer’s fears and ambiguities. Retailers can resolve consumer concerns by designing pro‐privacy parameters in the initial service design stage and the infrastructure deployment of drones.     

Determinants of agricultural entrepreneurship: a GEM data based study

The aim of this study is to explain the determinants of entrepreneurship in agriculture industry. What are the drivers of early stage entrepreneurial activity of agri-business entrepreneur and how it is influenced by various cognitive and social capital factors? To answers these questions various driving factors of entrepreneurial activity have been explored from the literature. To achieve the objective, the study uses APS (Adult Population Survey) 2013 data of 69 countries provided by GEM (Global Entrepreneurship Monitor). Total number of respondents 1470, those who are alone or with others, currently trying to start a new business, including any self-employment or selling any goods or services to others in Agriculture Industry, were selected from the data set. To measure the influence of cognitive and social capital factors on early stage entrepreneurial activity logistic regression was employed. The findings show that those who see entrepreneurial opportunities, are confident in their own skills and ability, having personal relationship or social networks with existing entrepreneurs, and have invested in others business as business angels are more likely to become an entrepreneur. Additionally, fear of failure or risk perception does not prevent people to become entrepreneur. Policy implications have been discussed. This is one the first study of its kind and contributes to the existing literature by explaining agricultural entrepreneurship through an integrated approach of entrepreneurial cognition and social networking.

     

Principal Features of Building Social Accounts Matrix and Improving Statistical Database for Eco-countries

With common borders of the population, total area, and GDP （PPP-based） of Economic Cooperation Organization （ECO） member states are estimated as 416 million persons, 7.9 million m2, and US$2.7 trillion respectively （2010 data）. Although heterogeneous in the extent, there is economic development, overall, with serious energy and transport-transit relations among countries that is reflected in growing trade turnover year-by-year. However, there are still rather unused resources and capacity in such areas of cooperation among countries as exchange of energy, transport services, agricultural and industrial goods, use of opportunities for tourism, promoting investment and innovation processes and other areas. Certainly, maximum and optimal use of these resources calls for availability of analytical means capable of accounting for relations both within member states and among them. The implementation of computable general equilibrium （CGE） modeling in each member state would thus be of great significance in resolution of these problems both in terms of accounting for input-output linkages within the countries as well as enabling impact of main trading partners and goods and services among countries. The analysis carried out indicates that there are a number of problems in application of CGE model in most of the member states. As such, input-output tables are not compiled in some countries, while in others despite the fact that these tables are compiled, there are no attempts to build the model, yet in other countries, even if the CGE model is implemented, there are difficulties in taking into account the real results in the face of serious problems related to improving national accounts system database. Summarizing these problems, it is possible to conclude that to ensure the application of a CGE model,there is a great need to work out procedures of compilation of a social accounts matrix （SAM） that lies on the basis of this model, for which the relevant statistics of a member state must be improved     

A ROle-Oriented Filtering (ROOF) approach for collaborative recommendation

In collaborative filtering (CF) recommender systems, existing techniques frequently focus on determining similarities among users’ historical interests. This generally refers to situations in which each user normally plays a single role and his/her taste remains consistent over the long term. However, we note that existing techniques have not been significantly employed in a role-oriented context. This is especially so in situations where users may change their roles over time or play multiple roles simultaneously, while still expecting to access relevant information resources accordingly. Such systems include enterprise architecture management systems, e-commerce sites or journal management systems. In scenarios involving existing techniques, each user needs to build up very different profiles (preferences and interests) based on multiple roles which change over time. Should this not occur to a satisfactory degree, their previous information will either be lost or not utilised at all. To limit the occurrence of such issues, we propose a ROle-Oriented Filtering (ROOF) approach focusing on the manner in which multiple user profiles are obtained and maintained over time. We conducted a number of experiments using an enterprise architecture management scenario. In so doing, we observed that the ROOF approach performs better in comparison with other existing collaborative filtering-based techniques.     

Human capital formation under neo-liberalism: the legacy of vocational education training in Australasia and implications for the Asia-Pacific region

Abstract

This appraisal considers the role and impact of vocational education and training (VET) in Australia and New Zealand, and suggests directions such policy might take in other Asia-Pacific countries. It identifies key issues and constraints in making VET more responsive to emerging labour market needs in the region as an important factor in sustaining high economic growth. It focuses on the way in which the demands of the government, industry, trainees, and, in particular, shifts in political ideology that have influenced the education and training sectors in both countries. It addresses points of specific relevance for the delivery of VET in the broader Asia-Pacific context and concludes with a consideration of lessons and experiences of Australia and New Zealand with VET that may hold for other countries in the region in formulating priorities and implementing strategies in meeting their current and emerging needs for skills development.     

Individual’s financial investment decision-making in reward-based crowdfunding: evidence from China

This article extends the work of Cecere et al. (Appl. Econ., 49(57): 5802–5813, 2017) and explores the antecedents of backers’ decision to invest in projects from eight categories on a reward-based crowdfunding platform in China. We extract data from 2011 to 2016 from the pioneer Chinese reward-based crowdfunding site ‘Demohour’. Our empirical investigation using OLS reveals that feedback score, social capital (followers on Weibo, project sharing on social media) and project quality (number of updates) are key motivating factors in investment decision and subsequently, project success or failure. Robustness tests also confirm the findings.     

Modeling Marketing Dynamics by Time Series Econometrics

This paper argues that time-series econometrics provides valuable tools and opens exciting research opportunities to marketing researchers. It allows marketing researchers to advance traditional modeling and estimation approaches by incorporating dynamic processes to answer new important research questions. The authors discuss the challenges facing time-series modelers in marketing, provide an overview of recent methodological developments and several applications, and highlight fruitful areas for future research. This discussion is based on the First Annual Conference on Modeling Marketing Dynamics by Time Series Econometrics at the Tuck School of Business at Dartmouth, Hanover, New Hampshire, USA on September 16–17, 2004.Insights from the First Annual Conference, Tuck School of Business at DartmouthThis revised version was published online in May 2005 with a corrected cover date.     

A stochastic dynamic model of trade and growth: Convergence and diversification

There is a growing literature that studies the properties of models that combine international trade and neoclassical growth theory, but mostly in a deterministic setting. In this paper we introduce uncertainty in a dynamic Heckscher-Ohlin model and characterize the equilibrium of a small open economy in such an environment. We show that, when trade is balanced period-by-period, the per capita output and consumption of a small open economy converge to an invariant distribution that is independent of the initial wealth. Further, at the invariant distribution, there are periods in which the small economy diversifies. Numerical simulations show that the speed of convergence increases with the size of the shocks. In the limit, when there is no uncertainty, there is no convergence and countries may specialize permanently. The paper highlights the role of market incompleteness, as a result of the period-by-period trade balance, in this setup. Through an analytical example we also illustrate the importance of country specific risk in delivering our results.