Role of Information and Its Impact on Business Performance: Structural Equation Modeling (Sem) Perspective in Saudi Arabia

Abstract

Structural Equation Modeling (SEM) encompasses various forms of computational algorithms, statistical techniques, and mathematical models, which are utilized to fit the constructs of information. SEM tests the hypothesis by utilizing data generated from respondents who are all participated in the intelligence test. This article focuses on the investigation of the relationship between the elements of successive critical factors for management quality (SCEMQ) and business progression (BP). The instrument is adopted to gather primary data from the business organization. In this article, two-step SEM model is incorporated in the investigation of SCEMQ and BP. The article identified seven critical successive elements, namely commitment with top management (CTM), focus on customer (FC), planning of strategic (PS), management of process (MPR), management of people (MP), quality of leadership (QL), and management of supplier (MS), which have a significant role in defining the performance of the business. From this study, it is identified that the quality and information have a huge contribution to the success of business. From the analysis of statistical outcome, significant as well as positive correlation among the critical aspects of business are identified.

Improving Economic Welfare through Capital Development: Case Study of Smallholder Dairy Farmers in Pujon District

“…For example, age and income levels can shed light on the economic stability and spending capacity of these farming households [32][33][34][35][36][37]. Likewise, education level may affect farming techniques and productivity [38][39][40], whereas the number of family members can impact labor availability and income distribution [41,42]. Thus, a thorough understanding of these demographic data are essential to fully grasp the multifaceted dynamics of farmer welfare in the Pujon District.…”

“…The number of family members can have a detrimental impact on household food security. However, based on prior research, close family relationships between family members can allow farmers to increase efficiency in decision-making and seize existing development opportunities [41,42].…”

“…affect farming techniques and productivity [38][39][40], whereas the number of family members can impact labor availability and income distribution [41,42]. Thus, a thorough understanding of these demographic data are essential to fully grasp the multifaceted dynamics of farmer welfare in the Pujon District.…”