Corporate Culture Analytics and Implications for Development of Fishing Businesses in Nyaminyami Rural District, Zimbabwe
Abstract
The main objective of the study was to assess corporate culture analytics and implications for development of fishing business in Nyaminyami Rural District, Zimbabwe. The research adopted mixed method approach rooted in the pragmatism paradigm. Probability sampling (simple random) was used to determine respondents for the quantitative data while non-probability sampling (purposive) was used to determine the participants to provide the qualitative data. The population of the study were all twenty-seven (27) heads of departments from the fishing companies in the district. However, fifteen (15) respondents were selected for quantitative data while twelve (12) participants were selected for qualitative data. Both structured questionnaires and interview guide were used to solicit data where descriptive statistics were used to analyse culture analytics tools used by the fishing business and thematic analysis was used for perceptions of participants on the implications for development of culture analytics on fishing business in the district. Study findings showed that culture analytics analyse the complete spectrum and align it with organisational objectives. This enables human resource teams to pinpoint the precise metric to pursue, develop programs that address any gaps identified and determine how the company can benefit holistically. Moreover, the findings revealed that culture analytics can provide insights into the soft skills of employees, a dimension frequently overlooked in conventional evaluations. Once these gaps are identified, they can be addressed through training and employee engagement initiatives. Based on the study results, it can be inferred that culture analytics provides human resource managers in the fishing industries with comprehensive data on employees’ cultural alignment. This facilitates decision-making processes, spanning from internal recruitment to off boarding, and relies on a thorough understanding of the current cultural landscape within the organisation. Additional research is warranted to explore the intricacies and evolving nature of culture analytics solutions further, with the aim of improving the performance of the fishing industry in Zimbabwe.
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