Identifying the key success factors of F&B sharing services: new insights from a multiple-phase decision-making model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ya-Yuan Chang ◽  
Hung-Che Wu ◽  
Ching-Chan Cheng ◽  
Cheng-Ta Chen
Keyword(s):  
Decision Making ◽  
Customer Satisfaction ◽  
Customer Value ◽  
Success Factors ◽  
Big Data Analytics ◽  
Sharing Economy ◽  
Key Factors ◽  
Public Attention ◽  
Content Type ◽  
Key Success Factors

PurposeIn the tide of the sharing economy, food and beverage sharing services (FBSS) are gradually drawing public attention. Many comments about FBSS are posted and discussed online, and this information may suggest the key factors in the operation of FBSS. This study aims to identify the key success factors (KSFs) of FBSS from online communities and media, potential consumers, customers and experts.Design/methodology/approachThis study utilizes Internet big data analytics (IBDA) to identify the key FBSS factors and then examines the KSFs of FBSS through conducting an analysis of the importance of key factors for potential consumers, confirmatory factor analysis of customer satisfaction of key factors, multiple regression analysis of customer satisfaction of key factors influencing the customers' intentions to continue participating in FBSS and a decision-making trial and evaluation laboratory of experts' opinions.FindingsThe results showed that the 15 key FBSS factors through IBDA were screened out. Among them, four KSFs that influence the operation of FBSS were identified. These four KSFs are discussed in detail in the text.Originality/valueThe findings of this study provide references for FBSS providers in the future to enhance customer value, service quality and business competitive advantages of FBSS.

Unveiling the success factors of BTS: a mixed-methods approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
So-Hyun Lee ◽  
Soobin Choi ◽  
Hee-Woong Kim
Keyword(s):  
Mixed Methods ◽  
Text Mining ◽  
Success Factors ◽  
Latent Dirichlet Allocation ◽  
Early Stage ◽  
World View ◽  
Key Factors ◽  
Content Type ◽  
Mixed Methods Approach ◽  
Key Success Factors

PurposeThe purpose of this paper is to explore the key success factors behind Bangtan Boys’ (BTS) popularity, and how they can contribute to sustaining it, along with detailed strategies for the success of global pop.Design/methodology/approachThis study adopts a mixed-methods approach that uses text mining and interviews and uses the success of BTS to find the key factors accounting for its sustained popularity. For use in text mining, we collected data related to BTS from social network sites (SNS) and analyzed this data using latent Dirichlet allocation (LDA) topic modeling, term frequency analysis and keyword extraction. In addition, we conducted interviews to explore the key factors accounting for the sustained popularity of BTS.FindingsWe found ten key success factors—active global fandom, SNS communication, fans' loyalty, empathy through music, storytelling and world view, performance quality, music video quality, overseas expansion at an early stage, efforts for self-development and teamwork among members— for a global pop group's success and sustained popularity.Research limitations/implicationsThis study contributes to the literature by finding key factors for success and sustained popularity of a global group through using a mixed-methods approach.Practical implicationsOur results suggest strategies to sustain the popularity of global groups and its potential to benefit across the entertainment industry.Originality/valueThis study is among the first to comprehensively examine the key factors for Korean pop’s (K-pop) sustained popularity by using a mixed-methods approach of text mining and interviews.

scholarly journals Key success factors influencing SME managers’ information behaviour on emerging ICT (EICT) adoption decision-making in UK SMEs

2018 ◽  
Vol 31 (3/4) ◽  
pp. 250-275 ◽  
Author(s):  
Sunday C. Eze ◽  
Sulaimon Olatunji ◽  
Vera C. Chinedu-Eze ◽  
Adenike O. Bello
Keyword(s):  
Decision Making ◽  
Small Business ◽  
Success Factors ◽  
Business Managers ◽  
Information Need ◽  
Content Type ◽  
Adoption Decision ◽  
Key Success Factors ◽  
Information Behaviour ◽  
Factors Influencing

Purpose While a substantial number of studies have examined information behaviour, most centred on choice of information source, student information behaviour, information behaviour of women, environmental uncertainty and scanning behaviour of top-level hotel executives. However, little is known about how the small and medium enterprise (SME) managers scan, seek, gather, document and use information relevant for emerging information and communication technology (EICT) adoption decision-making. This paper aims to examine the key success factors influencing SME manager’s information behaviour on EICT adoption decision-making. Design/methodology/approach This study deploys a qualitative approach to exploring 16 key success factors shaping SME managers’ information behaviour on EICT adoption decision-making. More specifically, the study adopted both unstructured and semi-structured interviews with 20 small business managers drawn purposeful from Crunch Database. Findings This study develops an extended technology, organisation and environment framework by incorporating the information context which helped to unravel 16 key success factors influencing small business managers’ information behaviour on EICT. From the technology context, uncertainty driven, compatibility, replacement of legacy technology, relative advantages, lack of technical know-how and perceived affordability fit for purpose influence SME managers’ information behaviour. Users’ acceptance information, efficiency driven, owner’s support shape the organisation context of perceived information need; competitor’s intelligence gathering, customer’s information gathering provider credibility and government policy influence the environmental context of perceived information need; and finally, perceived information sources credibility, herding event, testimonial and openness to other people’s ideas and experiences are shaped by the information context. Research limitations/implications Qualitative research is normally subjective, interpretive and limited on the sample used. Because of the limited number of interviews, the generalisation of the framework and the finding is difficult. Therefore, the finding and the framework need to be established across broader population. The findings are vital considering the fact that small business managers are limited in knowledge and the study may improve the way and manner they go about seeking and gathering information relevant in adopting new ICT. Originality/value This research provides further insight into SME managers’ information behaviour by developing a framework and identifying main factors influencing SMEs information behaviours on EICT. Therefore, understanding such factors will enrich their knowledge on some of the factors that may shape their decisions during EICT adoption decision to make effective decision.

Family business insights: an overview of the literature

2015 ◽  
Vol 5 (1) ◽  
pp. 116-127 ◽  
Author(s):  
Paul Pounder
Keyword(s):  
Decision Making ◽  
Family Business ◽  
Success Factors ◽  
Family Businesses ◽  
Continuous Change ◽  
Business Leadership ◽  
Content Type ◽  
Key Success Factors ◽  
Quantitative Studies ◽  
The Family

Purpose – The purpose of this paper is to investigate how the family business literature has evolved, and to examine the factors influencing family-owned and managed businesses. The paper discusses important patterns in the present literature and new directions for future study. Design/methodology/approach – The research identifies key research topics and methodical approaches to understand family businesses. Insights into the reasoning behind the historic changes and the current direction and trends of the family business literature are also identified. Findings – The findings of this research argues that the main cause of the challenges in running a family business stem from the management of the interrelationship between family concerns and business concerns. Strong leadership and building a culture that accepts continuous change are key success factors. Research limitations/implications – Due to the specific nature of the family business dynamics and decision-making conflict, which can hardly be captured by quantitative studies alone, a promotion of qualitative studies is advisable. Practical implications – This study suggests that understanding the culture surrounding decision making in family business has great value. Characteristics such as aggressiveness, fearlessness and competition are key areas for investigation. Social implications – Overlooking the potential of non-family members for family business leadership can produce sub-optimal choices of successors. Further, the aspiration to change society’s and government’s view of family businesses warrants attention. Originality/value – This review of previous research offers researchers a broader and comprehensive view of the family business, which is inclusive of the challenges, decision making and solutions within the family business structure. Researchers, educators and practitioners will benefit from this paper.

Key success factors for organizational performance of private HLIs in Malaysia

2018 ◽  
Vol 34 (8) ◽  
pp. 7-9 ◽  
Author(s):  
Josephine Ie Lyn Chan ◽  
Rajendran Muthuveloo
Keyword(s):  
Higher Education ◽  
Organizational Performance ◽  
Success Factors ◽  
Business Environment ◽  
Research Literature ◽  
Education Sector ◽  
Key Factors ◽  
Content Type ◽  
Business Sustainability ◽  
Key Success Factors

Purpose The paper aims to highlight the key factors that can optimize the organizational performance of private higher learning institutions (HLIs). Undeniably, organizational performance is crucial for the business sustainability of private HLIs in Malaysia. Design/methodology/approach This paper presents the authors’ views on the key factors for the organizational performance of private HLIs based on personal experiences and review of past research literature conducted on organizational performance. Findings The higher education sector plays an important role as it is seen as a potential engine of growth and source of global competitiveness. As one of the main players in the higher education sector, private HLIs need to optimize its organizational performance. Unfortunately, at present, the disruptive dynamic changes and uncertainties in the business landscape are affecting the organizational performance of HLIs. Therefore, the key factors highlighted in this paper are meant to provide insights into how private HLIs can optimize organizational performance while operating in the current turbulent business environment. Originality/value The paper provides new insights into key success factors that are pivotal to the business sustainability of private HLIs in Malaysia.

Supply chain practices and organizational performance

2017 ◽  
Vol 28 (1) ◽  
pp. 75-101 ◽  
Author(s):  
Shrikant Gorane ◽  
Ravi Kant
Keyword(s):  
Supply Chain ◽  
Customer Satisfaction ◽  
Financial Performance ◽  
Organizational Performance ◽  
Customer Value ◽  
Structural Equation ◽  
Decision Makers ◽  
Current Status ◽  
Content Type ◽  
Manufacturing Organizations

Purpose The purpose of this paper is to empirically test a framework which identifies the relationships between various supply chain practices (SCPs) and organizational performance (operational performance (OP), customer satisfaction, and financial performance) in the context of Indian manufacturing organizations. Design/methodology/approach From the literature, ten SCPs are selected which finally influences the organizational performance. In order to understand the interactions between SCPs and organizational performance, this paper grouped the ten SCPs into four constructs namely: information and communication technology, supply chain (SC) integration, operational responsiveness, and closed loop green practices. Three levels of firm performance are also examined, including OP, customer satisfaction, and financial performance. The paper-based and web-based survey yielded 292 responses from the Indian manufacturing organizations. The data collected were put through rigorous statistical analysis to test for the content, construct, and criterion-related validity, as well as reliability analyses. Further a structural equation model was developed to test the relationships between SCPs and organizational performance. Findings The finding suggests that a successful SCPs implementation not only improves the OP, but also enhances customer satisfaction and financial performance. In addition, higher financial performance is also attributable to better customer value resulting from the achievement of better customer satisfaction. Research limitations/implications SCPs are complex constructs. While this study shows the effect of broadly accepted SCPs on organizational performance, not all possible practices are covered in this study. Again the study can be further extended to sector specific so that the results can be further refined. Practical implications This is one of the few studies which attempts to investigate whether there is any relationship exits between SCPs and organizational performance. The finding will help decision makers in the organization to know the importance of SCPs and how SCPs influence the organizational performance. Second, this study has developed and validated a multi-dimensional construct of SCPs, which can assist decision makers of Indian organizations to evaluate the competence of their current status of SCPs in the organization. Originality/value As per the knowledge of the authors, this is the first kind of study which empirically investigated the relationships between SCPs and organizational performance in the context of Indian manufacturing organizations.

Asymmetric effect of feature level sentiment on product rating: an application of bigram natural language processing (NLP) analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yun Kyung Oh ◽  
Jisu Yi
Keyword(s):  
Natural Language Processing ◽  
Customer Satisfaction ◽  
Natural Language ◽  
Language Processing ◽  
Big Data Analytics ◽  
Service Improvement ◽  
Asymmetric Effect ◽  
Content Type ◽  
Quality Dimensions ◽  
Product Ratings

PurposeThe evaluation of perceived attribute performance reflected in online consumer reviews (OCRs) is critical in gaining timely marketing insights. This study proposed a text mining approach to measure consumer sentiments at the feature level and their asymmetric impacts on overall product ratings.Design/methodology/approachThis study employed 49,130 OCRs generated for 14 wireless earbud products on Amazon.com. Word combinations of the major quality dimensions and related sentiment words were identified using bigram natural language processing (NLP) analysis. This study combined sentiment dictionaries and feature-related bigrams and measured feature level sentiment scores in a review. Furthermore, the authors examined the effect of feature level sentiment on product ratings.FindingsThe results indicate that customer sentiment for product features measured from text reviews significantly and asymmetrically affects the overall rating. Building upon the three-factor theory of customer satisfaction, the key quality dimensions of wireless earbuds are categorized into basic, excitement and performance factors.Originality/valueThis study provides a novel approach to assess customer feature level evaluation of a product and its impact on customer satisfaction based on big data analytics. By applying the suggested methodology, marketing managers can gain in-depth insights into consumer needs and reflect this knowledge in their future product or service improvement.

scholarly journals Model for assessing the success of SMEs in the internacionali­zation process

2010 ◽  
Vol 58 (6) ◽  
pp. 245-252
Author(s):  
Lea Kubíčková ◽  
Aleš Peprný ◽  
Šárka Nováková
Keyword(s):  
Risk Management ◽  
Success Factors ◽  
Small And Medium Enterprises ◽  
Evaluation Model ◽  
Internationalization Process ◽  
Key Factors ◽  
Simple Method ◽  
Key Success Factors ◽  
Simple Evaluation ◽  
Medium Enterprises

The paper deals with evaluating the success of small and medium-sized companies in in­ter­na­tio­na­li­za­tion process. The process of internationalization is defined in the literature in a many ways; there is a countless variety of different approaches and models of internationalization process of firms. Like all processes in the firm also the internationalization process is accompanied by risks. For risk management it is important to know what the key factors of success are in the international arena. In this article is presented a simple evaluation model that could be used by SMEs to determine not only how strong are they compared to competitors, but also at what level are their key success factors in the process of internationalization. The aim was to find a simple method to help small and medium enterprises to assess their situation in the field of internationalization and to help them identify their strengths and weaknesses in this area. Proposed simple evaluation model has the graphic output from which it can be seen in which areas the company is doing well in internationalization process and in what areas is doing badly – then there is room for further improvement. Creating the model it was essential to divide the various factors into several groups and further evaluation to determine the range by which SMEs can quantify the level of success in internationalization process. Before the model was constructed it was necessary to collect data among small and mid-sized firms, and to process the outputs of the survey. After confirmation or to rejection of the certain hypotheses key success factors of SMEs in the internationalization process were selected and these factors were then aggregated into 4 groups. The model was then applied to data obtained from a survey of 40 SMEs and in the paper there are presented specific examples of graphical output of the model for the best and worst rated company. Authors are aware that the model is simple and has its limits, there is the need of much more work and the authors foresee further modifications of this model.

The Success of the Link Model Programme in Rural Bangladesh: An Empirical Analysis

2018 ◽  
Vol 3 (2) ◽  
pp. 191-214
Author(s):  
Shutaro Takeda ◽  
Go Okui ◽  
Nanao Fujimura ◽  
Hisae Abe ◽  
Yuka Ohashi ◽  
...  
Keyword(s):  
Success Factors ◽  
Strongly Correlated ◽  
Key Factors ◽  
Or Education ◽  
Key Success Factors ◽  
Development Officers ◽  
Model Project ◽  
Degree Of Satisfaction ◽  
Link Model ◽  
Rural Appraisal

Link Model, a participatory rural appraisal (PRA) programme for micro-infrastructure construction funding aid, has received much attention in Bangladesh over the last few decades. This study aims to contribute to the latest phase of the Link Model project, launched in July 2016 by the Bangladeshi government. To this end, the authors conducted a field survey in Kalihati Upazila, which involved 102 villagers and 153 local representatives. The authors used the survey to examine the efficacy of the programme and to identify the key factors that contribute to its success. Results obtained from the questionnaire survey showed that the programme had high degrees of satisfaction and penetration in the surveyed villages. Moreover, the degree of satisfaction was unaffected by gender, religion, income or education background, which is notably consistent with the ideals of PRA. Villagers who understood the policy better were more satisfied with the micro-infrastructures developed through the Link Model programme. The ratings of union development officers (UDO) strongly correlated with the number of micro-infrastructures. Therefore, this study concludes that the key success factors of Link Model are (a) the understanding of villagers on the programme for quality and (b) the capability of UDO for quantity.

Multisensory experience for enhancing hotel guest experience

2019 ◽  
Vol 31 (11) ◽  
pp. 4313-4337 ◽  
Author(s):  
Minwoo Lee ◽  
Seonjeong (Ally) Lee ◽  
Yoon Koh
Keyword(s):  
Big Data ◽  
Customer Satisfaction ◽  
Business Intelligence ◽  
Critical Role ◽  
Big Data Analytics ◽  
Cognitive Effort ◽  
Content Type ◽  
The Relationship ◽  
Multisensory Experience

Purpose This study aims to investigate the effect of customers’ multisensory service experience on customer satisfaction with cognitive effort and affective evaluations using big data and business intelligence techniques. Design/methodology/approach Online customer reviews for all New York City hotels were collected from Tripadvisor.com and analyzed through business intelligence and big data analytics techniques including data mining, text analytics, sentiment analysis and regression analysis. Findings The current study identifies the relationship between affective evaluations (i.e. positive affect and negative affect) and customer satisfaction. Research findings also find the negative effect of reviewer’s cognitive effort on satisfaction rating. More importantly, this study demonstrates the moderating role of multisensory experience as an innovative marketing tool on the relationship between affect/cognitive evaluation and customer satisfaction in the hospitality setting. Originality/value This study is the first study to explore the critical role of sensory marketing on hotel guest experience in the context of hotel customer experience and service innovation, based on big data and business intelligence techniques.

An intervariable approach to customer satisfaction and loyalty in the internet service market

2019 ◽  
Vol 29 (4) ◽  
pp. 772-798 ◽  
Author(s):  
Mamoun N. Akroush ◽  
Bushra K. Mahadin
Keyword(s):  
Customer Satisfaction ◽  
Customer Value ◽  
Perceived Value ◽  
Future Research ◽  
The Internet ◽  
Service Market ◽  
Internet Service ◽  
Confirmatory Factor Analyses ◽  
Content Type ◽  
Attitudinal Loyalty

Purpose The purpose of this paper is to examine a multidimensional model of customer perceived value (CPV), customer satisfaction (CS) and loyalty from internet subscribers’ perspectives. Design/methodology/approach In total, 1,297 out of 2,000 online surveys were valid for the analysis. Confirmatory factor analyses were performed to assess the research constructs’ unidimensionality, validity and composite reliability. Structural path analysis was used to test the hypothesized relationships of the research model. Findings CPV positively affects functional and technical satisfaction as well as cognitive loyalty. Functional satisfaction positively affects technical satisfaction and attitudinal loyalty. Attitudinal loyalty positively affects cognitive and behavioral loyalty, and the latter positively affects cognitive loyalty. In total, 53 percent of variation in cognitive loyalty was caused by behavioral, attitudinal loyalty and perceived value path. Research limitations/implications Future research could investigate other outcomes of CS dimensions, such as customer lifetime value, customer retention, profitability, return on investment and market share, and their effects on customer loyalty (CL). Future research can also examine the effect of other dimensions of perceived customer value on CS and loyalty dimensions simultaneously. Other future research areas are also outlined. Practical implications CPV acts as a cornerstone to developing a successful multidimensional program of CL through functional and technical satisfactions. Marketing directors need to focus on building CL schemes and strategies that should take into consideration the long-term and short-term loyalty. Originality/value Theoretically, using an intervariable perspective, this paper has responded to important calls for conducting research on the chain of perceived value, CS and loyalty chain. Practically, this paper is the first empirical research devoted to developing an intervariable approach to the chain of perceived value, CS and loyalty in the internet service market.

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