Explaining the Dimensions of Sentiment Management for Asset Management Services CustomersUsing Meta-Synthesis
This research seeks to provide a model for explaining the dimensions of customer sentiment management of asset management services, including investment funds and portfolio-managed accounts, using meta-synthesis application. By reviewing and screening 254 papers written between 2002-2022, coding was done by studying 49 studies. Finally, the components were classified with 32 final codes as basic themes and 5 codes as organizing themes. The reliability and validity of the model were calculated by a Kappa coefficient equal to 0.78, which is at the level of excellent agreement. Since this study uses the meta-synthesis method, its innovation is a method that examines all national and international studies in this field and identifies the dimensions of the subject completely and comprehensively for the readers. According to the results, the components of customer sentiment management dimensions of asset management services were categorized with five themes including the importance of sentiment management, influencing factors on customer sentiments, sentiment characteristics, sentiment management practices, and results of sentiment management. The results can be used by managers of asset management institutions in designing strategies for managing customers' sentiments.
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A Financial Reporting Model for Regional Electric Companies in Iran
Jafar Babajani *, Mohammad Javad Salimi, Mhammad Taghi Taghavi Fard, Ehsan Mohebi
Journal of Empirical Studies in Financial Accounting,