Convenience Store Managers’ Lived Experience Using Information Technology Investments and Capabilities
The study focused on convenience store managers in
the Northeastern United States. The researcher employed a qualitative methodology with a descriptive
phenomenological design.
Renewable Energy’s Effect on GDP Growth: Results from a Heterogeneous Panel Data Analysis
Our research, which is based on an extensive literature review, utilizes a heterogeneous panel data model to analyze the data of this study, which covers the period from 1970 to 2019, using real GDP (in million 2017 USD) according to chained PPP, capital stock (in million 2017 USD) according to current PPP, human capital index based on years of schooling and returns to education, and total renewable energy consumption in terawatt-hours (TWh) for each of the 22 European countries.
Business Digital Transformation Practices in Kenya
Digital transformation is rapidly shaping the future of business operations globally. In Kenya, despite increasing investments in technology and talent, many organizations struggle to achieve meaningful results due to strategy misalignment and cultural resistance.
Funding landscapes in Technical and Vocational Education and Training (TVET): A bibliometric analysis
Technical and Vocational Education and Training (TVET) institutions play a pivotal role in equipping the workforce with practical skills, yet their effectiveness is strongly influenced by funding availability and allocation. This study aims to trace advancements in TVET research and identify existing knowledge gaps through a bibliometric analysis.
Sustainable Leadership for Green Innovation: Exploring the Link to Project Excellence
This study investigates the impact of green leadership styles Green Horizontal Leadership (GHL) and Green Vertical Leadership (GVL) on the performance of green projects within manufacturing firms in China.
Factors Affecting the Performance of the Beef Value Chain in the Zambezi Region of Namibia
The purpose of the study was to measure factors affecting the performance of the beef value chain in the Zambezi region to identify ways through which the value chain can be improved. The study adopted a mixed research method. A total of 71 beef value chain actors were sampled using a non-probability sampling technique. Self-administered questionnaires were developed and administered by the researcher.