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Article
Publication date: 1 June 2022

Md Shamim Hossain, Mst Farjana Rahman, Md Kutub Uddin and Md Kamal Hossain

There is a strong prerequisite for organizations to analyze customer review behavior to evaluate the competitive business environment. The purpose of this study is to…

Abstract

Purpose

There is a strong prerequisite for organizations to analyze customer review behavior to evaluate the competitive business environment. The purpose of this study is to analyze and predict customer reviews of halal restaurants using machine learning (ML) approaches.

Design/methodology/approach

The authors collected customer review data from the Yelp website. The authors filtered the reviews of only halal restaurants from the original data set. Following cleaning, the filtered review texts were classified as positive, neutral or negative sentiments, and those sentiments were scored using the AFINN and VADER sentiment algorithms. Also, the current study applies four machine learning methods to classify each review toward halal restaurants into its sentiment class.

Findings

The experiment showed that most of the customer reviews toward halal restaurants were positive. The authors also discovered that all of the methods (decision tree, linear support vector machine, logistic regression and random forest classifier) can correctly classify the review text into sentiment class, but logistic regression outperforms the others in terms of accuracy.

Practical implications

The results facilitate halal restaurateurs in identifying customer review behavior.

Social implications

Sentiment and emotions, according to appraisal theory, form the basis for all interactions, facilitating cognitive functions and supporting prospective customers in making sense of experiences. Emotion theory also describes human affective states that determine motives and actions. The study looks at how potential customers might react to a halal restaurant’s consensus on social media based on reviewers’ opinions of halal restaurants because emotions can be conveyed through reviews.

Originality/value

This study applies machine learning approaches to analyze and predict customer sentiment based on the review texts toward halal restaurants.

Details

Journal of Islamic Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1759-0833

Keywords

Article
Publication date: 29 May 2019

Md. Shamim Hossain, Sofri B. Yahya and Mohammad Jamal Khan

Although research on patient satisfaction and loyalty has grown rapidly, the literature on corporate social responsibility (CSR) health care and patient satisfaction and…

Abstract

Purpose

Although research on patient satisfaction and loyalty has grown rapidly, the literature on corporate social responsibility (CSR) health care and patient satisfaction and loyalty is scarce. This paper aims to examine the impact of CSR health care on patient satisfaction and loyalty in Bangladesh.

Design/methodology/approach

A quantitative study was performed, and data were collected using purposive sampling among 195 patients who used CSR health-care services from six public and private hospitals in Bangladesh. The data were analysed using structural equation modelling through the partial least square approach.

Findings

The study found a significant positive relationship between CSR health-care services and patient satisfaction and between patient satisfaction and loyalty at p < 0.01.

Research limitations/implications

The study provides insights into policymakers in the development of Bangladesh health sectors and CSR health-care activities. However, the results might not be generalisable due to the unavailability of a sample frame.

Originality/value

The study addresses the lacuna in the literature on CSR health-care practices of hospitals in Bangladesh from the perspective of patient satisfaction and loyalty.

Details

Social Responsibility Journal, vol. 16 no. 2
Type: Research Article
ISSN: 1747-1117

Keywords

Article
Publication date: 1 October 2018

Md Shamim Hossain, Sofri Bin Yahya and Shaian Kiumarsi

The purpose of this study is to examine the link between research and practice within the context of Islamic marketing (IM), an issue which is controversial in the…

Abstract

Purpose

The purpose of this study is to examine the link between research and practice within the context of Islamic marketing (IM), an issue which is controversial in the literature. It offers reasonable answers that bridge the gap between research and practice, as well as the way to mitigate it.

Design/methodology/approach

This study uses a critical approach to analytically review the literature on IM, and relates it to research and practice.

Findings

The study finds that the advancement of knowledge on IM necessitates research and practice. There is a gap between research and practice which evolved from decades of objectivity between researchers and practitioners in the field of IM. It is necessary to search for some practicable solutions that can narrow the gap between theory and practice.

Research limitations/implications

The basic limitation of this study is that IM has not yet emerged as a distinct discipline. Hence, there is limited study on IM issues in the context of research and practice.

Originality/value

This study makes essential contributions to the chastisement by research and practice, a theoretically new field of IM subject.

Details

Journal of Islamic Marketing, vol. 9 no. 4
Type: Research Article
ISSN: 1759-0833

Keywords

Open Access
Article
Publication date: 13 September 2022

Mst Farjana Rahman and Md Shamim Hossain

The influence of website quality on online compulsive buying behavior (OCBB) in the context of online shopping based on the usage of a credit card (UCC) and online…

Abstract

Purpose

The influence of website quality on online compulsive buying behavior (OCBB) in the context of online shopping based on the usage of a credit card (UCC) and online impulsive buying behavior (OIBB) was investigated in this study.

Design/methodology/approach

The authors used a research model to examine the relationships between the study components as per the prescription. For this investigation, the authors used an online survey form to obtain primary data from 350 respondents on social media. A covariance-based structural equation modeling approach was used to evaluate the structural research model and data.

Findings

The findings reveal that the quality of online shopping websites positively affects consumers' UCC and OIBB, and these in turn positively influence their OCBB.

Practical implications

The study emphasized impacting elements on consumer behavior and gave advice for future research based on the results. Using several dimensions of website quality, this study bridges the knowledge gap between UCC, OIBB and OCBB.

Originality/value

Based on UCC and OIBB, the authors developed a new model to investigate the link between website quality and OCBB. To the best of the authors' knowledge, it is the first experimental result that assesses the impact of website quality on OCBB.

Details

South Asian Journal of Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2719-2377

Keywords

Article
Publication date: 7 July 2021

Md Shamim Hossain, Mst Farjana Rahman and Xiaoyan Zhou

Social commerce is a subpart of electronic commerce (e-commerce), where social media is forced to support user contributions. The purpose of this study is to measure the…

Abstract

Purpose

Social commerce is a subpart of electronic commerce (e-commerce), where social media is forced to support user contributions. The purpose of this study is to measure the impact of customers' interpersonal interactions in social commerce on customer relationship management (CRM) performance, based on the flow, commitment-trust and stimulus–organism–response (SOR) theories.

Design/methodology/approach

On the basis of the SOR framework, the authors developed a study model to determine the impact on CRM performance of customers' interpersonal interactions in social commerce. The primary data of the study were collected from 640 users of social commerce through a web questionnaire during the COVID-19 (coronavirus disease 2019) pandemic situation, and the authors tested the study model using the approach of covariance-based structural equation modeling (SEM).

Findings

Results of the current study reveal that customers' interpersonal interactions in social commerce optimistically influence their perceived flow. Moreover, perceived flow absolutely controls users' trust and CRM performance. In turn, collective users' trust positively influences users' commitment and CRM performance. Finally, collective users' commitment absolutely influences the performance of CRM.

Practical implications

The authors provide a valuable contribution to the theoretical field of online marketing and CRM. Besides, the findings of this study are relevant for marketers to know the issues for increasing customer trust, commitment and performance of CRM.

Originality/value

The current study develops a model based on the flow, commitment-trust and stimulus–organism–response (SOR) theories. The authors' research is the first to estimate the effect of customers' interpersonal interactions in social commerce on CRM performance.

Details

Journal of Contemporary Marketing Science, vol. 4 no. 1
Type: Research Article
ISSN: 2516-7480

Keywords

Article
Publication date: 18 November 2022

Most. Sharmin Sultana, Xiongying Niu and Md Shamim Hossain

Consumers' perceptions of different aspects pertaining to servicescape and social servicescape at restaurants have received little consideration in the hospitality…

Abstract

Purpose

Consumers' perceptions of different aspects pertaining to servicescape and social servicescape at restaurants have received little consideration in the hospitality literature. To fill this gap, the authors develop a model that conceptualizes and empirically examines the impact of dissimilar attributes in restaurants on the development of negative emotions and the influence of negative emotions on consumers' dissatisfaction, which in turn determines consumers' behavioral intentions.

Design/methodology/approach

The authors used the moderating impact of restaurant attribute performance to support the link between negative emotions and dissimilar attributes. To achieve the study's goals, the authors conducted two investigations, Study 1 and Study 2, in Bangladesh and China, respectively. For study 1, 600 data were obtained from local Bangladeshi consumers, while for study 2, 396 foreign customers in China were surveyed. The collected data were examined by using Structural Equation Modeling (SEM) approach. The authors utilized IBM Analysis of Moment Structure (AMOS), version 24.0.

Findings

Both studies 1 and 2 found that dissimilar restaurant attributes had significant positive effects on the development of negative emotions, positive effects of negative emotions on consumer dissatisfaction and a positive influence of consumer dissatisfaction on consumers' behavioral intentions. Results of both studies 1 and 2 also showed that restaurant attributes performance positively moderate the relationships between dissimilar attributes and negative emotions.

Practical implications

The study's empirical results contribute to the body of knowledge in the domains of tourism, consumer psychology and consumer behavior. The study's findings can assist restaurant managers in better understanding how different features related to the servicescape and social servicescape dimensions cause unpleasant emotions and, as a result, influence consumer behavioral intentions.

Originality/value

No preceding research has looked at the link between dissimilar features and negative emotions in the restaurant setting to the authors' knowledge. Also, no previous research has looked at the moderating consequence of restaurant attributes in the association between dissimilar attributes and negative emotions. This research aims to fill those knowledge gap.

Details

Journal of Hospitality and Tourism Insights, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9792

Keywords

Article
Publication date: 23 March 2022

Md Shamim Hossain, Ahmed Razman Abdul Latiff and Mohammad Noor Hisham Bin Osman

The purpose of this study is to explore stakeholders’ perceptions on money creation and the impact of the accounting treatment for commercial banks’ money lending activity…

Abstract

Purpose

The purpose of this study is to explore stakeholders’ perceptions on money creation and the impact of the accounting treatment for commercial banks’ money lending activity in Malaysia.

Design/methodology/approach

A phenomenological approach was used to examine the stakeholders’ perceptions through experience-sharing. A semi-structured interview approach was used to collect the data. Ten individuals from different stakeholder groups have been interviewed with their prior consent. For the data analysis, the current study adopted the inductive thematic approach.

Findings

Perceptions on money creation are influenced by the informants’ understanding and awareness of the research issue. Informants have agreed on the accounting treatment (debit loan and credit deposits) but explained the impact of this accounting treatment differently. The accounting treatment creates an opportunity for the commercial banks to create money as they want, and hence, the excess created money can create inflation and threat for the potential financial crisis. On the contrary, it is argued that money creation results from the systematic approach of the fractional reserve banking (FRB) in Malaysia. In addition, this money creation is not a threat to the economy as long as there is a strong controlling role of Bank Negara Malaysia (BNM).

Research limitations/implications

Stakeholders’ perception indicates that awareness of the research issue can be a cause of crucial consequence for money lending activity. Moreover, this study may stimulate the chief regulatory body such as BNM, the central bank of Malaysia, to be more cautious in controlling the commercial banks’ money lending activity to prevent the potential future crisis. Furthermore, findings may help to explain the conflicting concept between the textbook explanation for FRB and current commercial banks’ money lending practice through the accounting treatment.

Originality/value

Monitoring and controlling of money creation and commercial banks’ money lending activity by BNM can be benefited from the stakeholders’ perceptions on this research issue. Because this is the first time study of the stakeholders’ perceptions on money creation and commercial banks’ money lending activity in Malaysia and hence, findings of this study may be worked as the input in the process of monitoring and controlling the money creation activity in Malaysia.

Details

Qualitative Research in Financial Markets, vol. 14 no. 5
Type: Research Article
ISSN: 1755-4179

Keywords

Article
Publication date: 22 October 2018

Md Nahin Hossain, Md Shamim Talukder, Md Rakibul Hoque and Yukun Bao

The purpose of this paper is to measure the impact of open government data (OGD) on citizen empowerment.

Abstract

Purpose

The purpose of this paper is to measure the impact of open government data (OGD) on citizen empowerment.

Design/methodology/approach

This study advances the body of knowledge on OGD by proposing an integrated research model based on transparency, accountability, participation and collaboration dimensions. The research model was empirically tested using 275 responses using the on-paper survey from the university students and professionals in Bangladesh. Data were analyzed using the structured equation modeling technique.

Findings

Findings revealed that transparency and participation have a positive and significant direct and indirect influence on citizen empowerment through accountability and collaboration. Overall, the four basic pillars of OGD such as transparency, participation, accountability and collaboration interrelated with each other and have the impact on citizen empowerment.

Research limitations/implications

This study has proposed an instrument that sums the dimensions of open government, which avoids tautology and redundancy among OGD dimensions. More research should be done to validate the proposed model and the instruments used in this study.

Practical implications

For the researchers, this study provides a basis for further refinement of individual models of empowerment. For practitioners, understanding the key constructs is crucial to design, refine and implement OGD systems and applications that empower citizens, create public values and strengthen the democratic process.

Originality/value

This research is the first step that empirically investigates the impact of OGD on citizen empowerment which is the ultimate goals of any democratic government.

Details

foresight, vol. 20 no. 6
Type: Research Article
ISSN: 1463-6689

Keywords

Open Access
Article
Publication date: 18 May 2020

Md Nahin Hossain, Md. Shamim Talukder, Abul Khayer and Yukun Bao

In the era of m-learning environments, multiple factors have been considered to explain adult learners' continuance usage intention, but largely without considering the…

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Abstract

Purpose

In the era of m-learning environments, multiple factors have been considered to explain adult learners' continuance usage intention, but largely without considering the role of specific configurations of variables and how they may affect learners' intention. The purpose of this study is to show how cognitive need, subjective norms, perceived usefulness, satisfaction, confirmation, attitude and perceived ease of use combine to predict learners' frequent use intentions.

Design/methodology/approach

It is empirically validated through configurational analysis, using fuzzy-set qualitative comparative analysis (fsQCA) on 211 adult learners with experience in using Mobile learning applications (MLA).

Findings

The findings show learners' satisfaction of MLA usage combined with the cognitive need and attitude were found to be core conditions reinforcing learners' continuance intention.

Research limitations/implications

This study was conducted in the context of adult learners MLA whereby the motivations for continued usage and the nature of technological innovation could differ. In this regard, findings from this study may not be generalizable to other technological contexts.

Practical implications

In the planning and development of learning apps, software developers should pay attention to practical functions and extend key features that are frequently required for solving a problem using the new skill. On the marketing side, MLA companies should emphasize the full functionality of their apps to cater efficiently to the different needs and expectations of the learners.

Originality/value

This study contributes by extending existing knowledge on how cognitive need, satisfaction and attitude combine to increase or mitigate continuance intention to use toward the development of new configurational theories. This study fills the gap in the literature by introducing adult learners' continuance intention to use MLA and introducing through a methodological approach of fsQCA in adult learners' context.

Details

Journal of Research in Innovative Teaching & Learning, vol. 14 no. 2
Type: Research Article
ISSN: 2397-7604

Keywords

Article
Publication date: 19 May 2021

Shahriar Akter, Md Afnan Hossain, Qiang (Steven) Lu and S.M. Riad Shams

Big data is one of the most demanding topics in contemporary marketing research. Despite its importance, the big data-based strategic orientation in international…

1962

Abstract

Purpose

Big data is one of the most demanding topics in contemporary marketing research. Despite its importance, the big data-based strategic orientation in international marketing is yet to be formed conceptually. Thus, the purpose of this study is to systematically review and propose a holistic framework on big data-based strategic orientation for firms in international markets to attain a sustained firm performance.

Design/methodology/approach

The study employed a systematic literature review to synthesize research rigorously. Initially, 2,242 articles were identified from the selective databases, and 45 papers were finally reported as most relevant to propose an integrative conceptual framework.

Findings

The findings of the systematic literature review revealed data-evolving, and data-driven strategic orientations are essential for performing international marketing activities that contain three primary orientations such as (1) international digital platform orientation, (2) international market orientation and (3) international innovation and entrepreneurial orientation. Eleven distinct sub-dimensions reflect these three primary orientations. These strategic orientations of international firms may lead to advanced analytics orientation to attain sustained firm performance by generating and capturing value from the marketplace.

Research limitations/implications

The study minimizes the literature gap by forming knowledge on big data-based strategic orientation and framing a multidimensional framework for guiding managers in the context of strategic orientation for international business and international marketing activities. The current study was conducted by following only a systematic literature review exclusively in firms' overall big data-based strategic orientation concept in international marketing. Future research may extend the domain by introducing firms' category wise systematic literature review.

Originality/value

The study has proposed a holistic conceptual framework for big data-driven strategic orientation in international marketing literature through a systematic review for the first time. It has also illuminated a future research agenda that raises questions for the scholars to develop or extend theory in this area or other related disciplines.

Details

International Marketing Review, vol. 38 no. 5
Type: Research Article
ISSN: 0265-1335

Keywords

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