Application of smart-phone use in food delivery operations for logistics optimization: From the perspective of consumer logistical practices

As a result of the rapid growth of smartphones, numerous research studies have been conducted in the marketing field. Nonetheless, there has been limited research examining the impact of smartphones on consumer logistical behaviors. The purpose of this research, which is based on consumer logistics, is to acquire a better understanding of the impact of smartphone usage by adopting a case study of supermarket purchasers while they shop for food. Fiction has emerged as the preferred optimization method for forecasting future smartphone use, which illustrates two potential supermarket universes. Such smartphone usage is still minimal. They will enable us to identify managerial drivers and then provide insight on the specific values associated with the rise of consumer logistical practices.

Influence of Logistics Optimization on Performance of Freight Forwarding Companies in Kenya

Purpose: The purpose of the study is to investigate the influence of logistics optimization on performance of freight forwarding companies in Kenya. Methodology: Descriptive research design was adopted. The study preferred this method because it allows an in-depth study of the subject. Data was collected from deputy heads and heads of procurement in 45 freight forwarding companies in Kenya, who are registered members of KIFWA according to its 2019 directory. Questionnaires were used to collect data. The questionnaires were tested for validity and reliability using 10% of the total sample respondents. Data was analyzed through descriptive statistical methods such as means, standard deviation, frequencies and percentage. Inferential analyses were used in relation to correlation analysis and regression analysis to test the relationship between the four explanatory variables and the explained variable. Multiple regression models were used to show the relationship between the predicted variable and the predictor variables. Results and conclusion: The independent variables reported R value of 0.846 indicating that there is perfect relationship between dependent variable and independent variables. R square value of 0.716 which means that 71.6% of the corresponding variation in performance of the freight forwarding companies can be explained or predicted by (logistics information system, freight management, distributor base rationalization and transport planning) which indicated that the model fitted the study data. The findings of the study indicated that logistics information system, freight management, distributor base rationalization and transport planning have a positive relationship with performance of freight forwarding companies in Kenya. Unique contribution to theory, policy and practice: the study recommended that freight forwarding companies should embrace logistics optimization so as to improve performance and further researches should to be carried out in other institutions to find out if the same results can be obtained.

Logistics optimization through smartphone application in operations for food distribution

The rise of smartphones has resulted in extensive marketing studies over several years. Nonetheless, there has been minimal research into the impact of smartphones on consumer logistical practices. The goal of this research, which is based on consumer logistics, is to gain a better understanding of the impact of smartphone usage by employing a case study of supermarket shoppers while they buy for food. Such smartphone usage is still minor, and fiction has thus emerged as the preferred approach for anticipating future use, which depict two hypothetical supermarket universes. They will allow us to identify the drivers of managerial activity and bring to light the precise stakes in the growth of consumer logistical practices.