CONSUMERS’ AWARENESS ON JOLLIBEE FOODS CORPORATION’S CORPORATE SOCIAL RESPONSIBILITY PROGRAMS AND THEIR BUYING BEHAVIOR TOWARDS A STRATEGIC CORPORATE SOCIAL RESPONSIBILITY

The research identified the consumers’ awareness of CSR, consumers’ buying behavior relating to Jollibee Foods Corporation’s (JFC) Corporate Social Responsibility (CSR) programs as well as to JFC as an organization, determined the relationship between consumers’ CSR awareness and consumer buying behavior, and ascertained differences in consumer buying behavior according to their socio-demographic classification. The study used descriptive research design, using self-administered questionnaires through purposive sampling method in the selection of respondents with a sample size of 250 consumers who participated in the survey. Data were statistically treated using mean, frequency, and percent distribution and standard deviation, chi-square, correlation, Kruskal-Wallis, and Mann-Whitney. Based on the findings, the researcher concludes that 25-34 years old consumers prefer Jollibee Foods brands as their fast-food preference. Females, those with Bachelor’s degrees, and are employed prefer JFC as well. The majority of respondents/consumers have knowledge on the topic at hand, thus they could be seen as the current audience of the CSR programs being done by JFC. It is highly commendable that JFC is conducting programs for the benefit of its targeted segments and communities, but consumers are not fully aware of these programs. Overall, consumers are most aware of other CSR programs done by JFC. Therefore, the researcher recommends creating a strategic CSR communication of JFC’s CSR programs to increase the awareness of consumers. It should capitalize on identified significant relationships between consumers’ CSR awareness and buying behavior to gain economic advantage.

AWARENESS & APPLICATIONS OF ARTIFICIAL INTELLIGENCE TOOLS FOR MANAGEMENT STUDENTS

With the Industry Revolution 4.0, Artificial Intelligence (AI) is bound to have its contribution in almost all of the sectors. AI has been constantly contributing to improvements in ability and performance of the systems and the services, with many of the sectors already benefiting from AI. It has also made a noteworthy progress in education sector. The paper analyses awareness of AI tools introduced for voice assistance which are being used by a major population of management students. It checks if there is any variation in the awareness level of the students based on demographic classification. It also provides potential impact of AI with variation in the levels of awareness among management students. Paper provides a broad overview about the benefits of incorporating AI in Management Education Sector.

Age heaping among adults in Nigeria: evidence from the Nigeria Demographic and Health Surveys 2003–2013

Age, as a variable, represents a critical basis for demographic classification; thus, its misrepresentations or misreporting alter the accuracy of demographic estimates. This paper examines the extent and pattern of age heaping in the age data for adults, collected in the Nigerian Demographic Health Survey (NDHS). The study used the NDHS data for 2003, 2008, and 2013 to compute a Whipple’s and Meyers’ blended index for each survey year, by gender, geopolitical zones, states and place of residence. The analysis shows that age heaping was higher than the acceptable levels in all three data sets. The Whipple’s index puts the rate of age heaping in the 2003 dataset at 271.3, whilst the rates declined slightly in the 2008 and 2013 datasets to reach 204.2 and 202.5 respectively. Similarly, the Myers’ blended index portrayed that age heaping in the 2003 data was highest at 47.0 while the subsequent years were lower at 38.60 and 38.66, respectively. Digits ending in 0 and 5 were mostly reported in all three surveys and higher rates of age heaping were observed among males, the uneducated and rural dwellers. Age heaping was prominent in all three surveys, thus affecting the data quality gathered at these surveys. Thus, future studies should assess the extent to which age misreporting could bias the estimate of fertility rate.

Decisional factors driving farmers to adopt organic farming in India: a cross-sectional study

PurposeThe purpose of this paper is to carry out an empirical investigation of the role of various factors such as economics, social, marketing, cultivation and government in adoption of organic farming. Further, this study examines the factors that influence farmers’ choice of adopting organic farming, based on their demographic classification such as education level, farm size, farming experiences and land ownership of the organic farmers.Design/methodology/approachTo address the research objectives, the primary data were collected with the help of a structured questionnaire from 200 respondents. In this study, the QUAL–QUAN sequence of mixed method design was used. Four focus groups were conducted to identify the factors of organic farming adoption. Further, multinomial regression analysis was applied to analyze the differential impact of these factors in relation to the farmers’ demographic classification.FindingsThe study found five major factors that affect the adoption of organic farming (economic, social, marketing, cultivation, government policy) in India. The study also observed that marketing and government policy factors were most crucial in influencing all types of farmers irrespective of their educational level. The farmers with more farming experience were more concerned about social factors. Similarly, the farmers using lease farms were found to be concerned about the economic viability of organic farming.Social implicationsThis study suggests that without government support, the adoption of organic agriculture seems to be a highly challenging task in a situation, where majority of the farmers fall under the small and marginal category. Hence, to promote organic farming in a developing country like India, the government has to invest more in schemes where farmers should get exclusive training and support to strengthen their intention behind the adoption of the organic farming.Originality/valueBased on the collective insights from the studies, the different stakeholders with interest in organic agriculture may frame necessary strategies to promote organic farming.