Investigating the impact of consumer values and advocacy behavior on buying decision satisfac-tion: A study through gender lens
, Available Online, January, 2017
Raja Ahmed Jamil, Syed Rameez ul Hassan, Asdaq Farid and Naveed Ahmad PDF (288 K)
Abstract: Consumer’s values, Cultural values, Emotional Values and Word of mouth expressiveness, are good predictors for their buying decision satisfaction. In current study sample of 500 was taken to assess the consumer’s buying decision satisfaction in relation to the importance of their values associated with those decisions. This study also reveals how gender influences buying decision satisfaction. Consumer values have a positive and significant impact on buying decision satisfac-tion. While evaluation on the basis of gender and females have more emotional and word of mouth linkages than males, on the contrary to this, males are more concerned with cultural val-ues, and are less expressive and have a tendency to suppress their emotions while making buy-ing decisions.
Keywords: Cultural values, Emotional values, Word of mouth, Buying decision satisfaction, Gender, Millennial
A productivity analysis of Iranian industries using an additive data envelopment analysis
, Available Online, December, 2016
Mohammad Rahmani PDF (288 K)
Abstract: Monitoring productivity of economic sections of a country would be an important step towards a reliable planning. Developmental decisions based on weaknesses and strengths will guarantee effectiveness, since it will lead to an effective allocation of resources. Among performance measurement approaches, the Data envelopment analysis (DEA), is a model that measures and reports excesses and deficits via analyzing input and output aspects. Aid of this exact and dis-criminating measurement, a proper DEA model applied in this study, can be an efficient instru-ment in fields which need scrutinizing analyses. Industrial productivity analysis of a country is one of such fields. This study applies an instrument developed based on the DEA approach for measuring the industrial productivity of the country. The results obtained, may pave the path for policy-making for economic growth in such a way that enables an effective resources allocation. The applied instrument is a weighted additive model, for which a sufficient number of yearly pe-riods are considered as decision making units (DMUs). The weights included in the model are driven by executing an analytical hierarchy process. After running the model the results demon-strate excesses and deficits in each DMU which can illuminate not only the past performance but also help to plan for the future policies.
Keywords: Productivity, Data Envelopment Analysis (DEA), Additive model, Analytical Hierarchy Process (AHP)
Impact of Mobile advertising on consumer attitudes in Algeria: case study of Ooredoo
, Available Online, December, 2016
Amina Merabet, Abderrezzak Benhabib and Abderrezzak Merabet PDF (288 K)
Abstract: Mobile advertising is a perfect tool to build a relationship based on proximity between brand and consumer. It is tactile, interactive, and personalized. As few studies have focused on this con-cept, particularly in the Algerian context, we aim in this research to show the role of mobile ad-vertising on consumer attitudes. After a literature review, an empirical study is conducted among150 students in Tlemcen city. Results, using regression analysis, show that attitude to-wards mobile advertising had no influence on the attitude towards brand and purchase intention.
Keywords: Mobile advertising, Attitude towards mobile adver-tising, Brand attitude, Purchase intention
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