Data for: Exploring customer engagement with Instagram influencers, post Covid-19

This dataset was collected as part of a Masters by Research project. The data comprises responses collected from 633 Instagram users globally, aged between 18-35 yrs age, on the relationship between Instagram users and Influencers using a 5-point Likert scale survey on Qualtrics. The socio-demographic data was on their profession, frequency of usage, and reason for use. The study aimed to investigate the cause-and-effect relationship between COVID- 19 restrictions and customer engagement on Instagram between the relationship of users and Influencers. The study looks at the different variables that impact customer engagement between influencers and users on Instagram, such as trust, interactivity, virtual experience, and visual display of content

Data for: Exploring customer engagement with Instagram influencers, post Covid-19

This dataset was collected as part of a Masters by Research project. The data comprises responses collected from 633 Instagram users globally, aged between 18-35 yrs age, on the relationship between Instagram users and Influencers using a 5-point Likert scale survey on Qualtrics. The socio-demographic data was on their profession, frequency of usage, and reason for use. The study aimed to investigate the cause-and-effect relationship between COVID- 19 restrictions and customer engagement on Instagram between the relationship of users and Influencers. The study looks at the different variables that impact customer engagement between influencers and users on Instagram, such as trust, interactivity, virtual experience, and visual display of content

Data for: The effect of transition to renewable energy on stakeholders of energy companies: analyses of energy companies' financial and non-financial performance indices

The data described below is for the study investigating whether the energy transition significantly affects energy companies' financial, environmental and social performance indicators. The study used secondary data comprising annual corporate data of 153 energy firms. The quantitative data consists of the production of both fossil fuel and renewable energy of energy companies that are available on their financial reports and are compiled in Thomson Reuters's DataStream database. The population of the research work comprises global energy firms, and the sampling frame comprises companies with renewable energy production in the proportion of their operation. The sample comprises the sub-sector classified under the energy industry (SIC codes 4932) and utility (SIC codes 4931). The study obtained an initial sample of 1989 firm-year observations from 2006 to 2018, comprising electricity utilities and oil and gas producers. Firms not having values on renewable energy produced as downloaded from Thomson Reuters's DataStream database were eliminated. Depending on the models, the study further filtered the data set against missing values in some control variables, reducing the firm-year observations in those models. Data collected was processed using Excel and Stata statisitical analysis softwar

Data for: Investigating the effects of personalisation in email on student choice

Purpose: The higher education sector has become competitive, and HEI marketers must compete for student recruitment. In this regard, the conceptualisation of personalised content as grounded in knowledge of student customer journey and its delivery through email can be important for HEI marketers. The current thesis aims to examine this in relation to student enrolment intentions by understanding the student enrolment journey and the variables influencing it. Method: The research was designed to investigate the impact of personalisation in email on student choice of HEIs. A between-subject online survey experiment was designed, and participants were exposed to personalised and non-personalised email conditions. Student HEI choice was measured as student ‘intention to enrol’. Findings: The study did not find significant differences between the personalised and non-personalised email conditions. This bears both theoretical and practical implications. It highlights the need for a deeper investigation of the concept in the higher education space. Value: The research furthers knowledge on the significance of personalisation in email in the higher education marketing context. It provides a method for marketing practitioners to define and deliver personalisation in the higher education space. In doing so, the study provides evidence for the importance of personalisation in the higher education industry, supporting the need for further examination of why and how students enrol

Data for: The effect of transition to renewable energy on stakeholders of energy companies: analyses of energy companies' financial and non-financial performance indices

The data described below is for the study investigating whether the energy transition significantly affects energy companies' financial, environmental and social performance indicators. The study used secondary data comprising annual corporate data of 153 energy firms. The quantitative data consists of the production of both fossil fuel and renewable energy of energy companies that are available on their financial reports and are compiled in Thomson Reuters's DataStream database. The population of the research work comprises global energy firms, and the sampling frame comprises companies with renewable energy production in the proportion of their operation. The sample comprises the sub-sector classified under the energy industry (SIC codes 4932) and utility (SIC codes 4931). The study obtained an initial sample of 1989 firm-year observations from 2006 to 2018, comprising electricity utilities and oil and gas producers. Firms not having values on renewable energy produced as downloaded from Thomson Reuters's DataStream database were eliminated. Depending on the models, the study further filtered the data set against missing values in some control variables, reducing the firm-year observations in those models. Data collected was processed using Excel and Stata statisitical analysis softwar

Data for: Investigating the effects of personalisation in email on student choice

Purpose: The higher education sector has become competitive, and HEI marketers must compete for student recruitment. In this regard, the conceptualisation of personalised content as grounded in knowledge of student customer journey and its delivery through email can be important for HEI marketers. The current thesis aims to examine this in relation to student enrolment intentions by understanding the student enrolment journey and the variables influencing it. Method: The research was designed to investigate the impact of personalisation in email on student choice of HEIs. A between-subject online survey experiment was designed, and participants were exposed to personalised and non-personalised email conditions. Student HEI choice was measured as student ‘intention to enrol’. Findings: The study did not find significant differences between the personalised and non-personalised email conditions. This bears both theoretical and practical implications. It highlights the need for a deeper investigation of the concept in the higher education space. Value: The research furthers knowledge on the significance of personalisation in email in the higher education marketing context. It provides a method for marketing practitioners to define and deliver personalisation in the higher education space. In doing so, the study provides evidence for the importance of personalisation in the higher education industry, supporting the need for further examination of why and how students enrol

Assessing the impact of corporate social responsibility and total quality management on the firms’ performance: A case of the ready-made garment industry in the emerging economy of Bangladesh

The data were collected as part of a PhD project titled as “Assessing the impact of corporate social responsibility and total quality management on the firms’ performance: A case of the ready-made garment industry in the emerging economy of Bangladesh”. To conduct the survey a sample of 499 employees from 25 garment industries in Bangladesh was used for this empirical study. A small element of qualitative interview-based investigation was conducted with eight senior managers to ascertain their views in the RMG (ready-made garment) sectors for corporate social responsibility implementation. The data were collected between September 2019 to December 2019

Assessing the impact of corporate social responsibility and total quality management on the firms’ performance: A case of the ready-made garment industry in the emerging economy of Bangladesh

The data were collected as part of a PhD project titled as “Assessing the impact of corporate social responsibility and total quality management on the firms’ performance: A case of the ready-made garment industry in the emerging economy of Bangladesh”. To conduct the survey a sample of 499 employees from 25 garment industries in Bangladesh was used for this empirical study. A small element of qualitative interview-based investigation was conducted with eight senior managers to ascertain their views in the RMG (ready-made garment) sectors for corporate social responsibility implementation. The data were collected between September 2019 to December 2019