Listing popularity on the peer-to-peer accommodation platform: the heuristic-systematic and uncertainty reduction perspectives

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ruihe Yan ◽  
Kem Zikun Zhang ◽  
Xiang Gong
Keyword(s):  
Uncertainty Reduction ◽  
Peer To Peer ◽  
Hierarchical Regression ◽  
Limited Attention ◽  
Identity Verification ◽  
Data Set ◽  
Self Disclosure ◽  
Content Type ◽  
Heuristic Systematic Model ◽  
Systematic Information Processing

Purpose Listing popularity indicates the public’s interest in a listing on peer-to-peer (P2P) accommodation platforms. Although listing popularity is crucial to the survival and development of the P2P accommodation platform, this issue has received limited attention in the tourism management discipline. Drawing upon the heuristic-systematic model and uncertainty reduction theory, this study aims to examine the impacts of host and property attributes on listing popularity. Design/methodology/approach The model was empirically validated using a data set of 6,828 listings on a popular P2P accommodation platform called Airbnb. This study chooses a hierarchical regression analysis to perform the model validation. Findings The findings reveal that host self-disclosure, host reputation and host identity verification are key host attributes in promoting listing popularity. Meanwhile, property visual description, property photo verification and property visual appeal are important property attributes in facilitating listing popularity. Research limitations/implications The study adds useful insights on understanding on determinants of listing popularity. Future researchers are recommended to empirically verify the underlying psychological mechanism by which host attributes and property attributes influence listing popularity. Practical implications The P2P accommodation platform should promote the listing popularity by taking advantage of the host attributes and providing property attributes. Originality/value First, to the best of the authors’ knowledge, this study is one of the few studies to explore the formation of the listing popularity. Second, this study examines how the host and property attributes promote the listing popularity through the heuristic and systematic information processing modes.

How leadership matters in organizational innovation: a perspective of openness

2018 ◽  
Vol 56 (1) ◽  
pp. 6-25 ◽  
Author(s):  
Xiao Jia ◽  
Jin Chen ◽  
Liang Mei ◽  
Qian Wu
Keyword(s):  
Transformational Leadership ◽  
Leadership Styles ◽  
Transactional Leadership ◽  
Organizational Innovation ◽  
Innovation Performance ◽  
Hierarchical Regression ◽  
New Paradigm ◽  
Data Set ◽  
Content Type ◽  
Top Managers

Purpose The purpose of this paper is to answer the following two questions: What are the influences of the top managers’ different leadership styles on organizational innovation? What is the mechanism by which the different leaderships exert different effects on organizational innovation? Design/methodology/approach To test the hypothesized model, a data set based on 133 MBA part-time students from Tsinghua University and Zhejiang University in China was built, after interviewing several top managers as a pilot study. With the help of SPSS macro, hierarchical regression and bootstrapping analysis, the paper analyzes the effects of two leadership styles on innovation performance, through the mediation mechanism of openness involving open breadth and open depth. Findings The results indicate that transformational leadership enhances, while transactional leadership reduces, the organizational innovation performance. The openness breadth and openness depth not only mediate the beneficial effect of transformational leadership on innovation, but also mediate the deleterious effect of transactional leadership on innovation. Originality/value This study empirically explores the different functions of transformational leadership and transactional leadership for leading organizational innovation performance. Furthermore, a new form of organization is an open design or strategy that allows more external knowledge and resources to be absorbed, which is claimed as a new paradigm for organization innovation. This study integrates the concepts of breadth of openness and depth of openness on the basis of open innovation literature, as an intermediate mechanism to explain the different effects of the two forms of top managers’ leadership.

Business-to-business referral as digital coopetition strategy

2020 ◽  
Vol 54 (6) ◽  
pp. 1181-1203
Author(s):  
Ying Zhu ◽  
Valerie Lynette Wang ◽  
Yong Jian Wang ◽  
Jim Nastos
Keyword(s):  
Physical Distance ◽  
Peer To Peer ◽  
Digital Data ◽  
Data Set ◽  
Content Type ◽  
Digital Space ◽  
Digital Network ◽  
The Impact ◽  
Business To Business ◽  
Practical Implications

Purpose Based on theories related to coopetition, the purpose of this paper is to examine the patterns of business-to-business digital referrals inscribed in businesses’ digital content. Design/methodology/approach A complete industry-wise digital data set is formed by extracting digital referrals in all the content pages. The authors outline how digital referrals are strategically used among peer businesses in the peer-to-peer digital network and in the augmented digital network, taking into consideration geographical framing and physical distance. Findings The authors reveal how geographical framing and physical distance influence peer-to-peer referral patterns in the digital space. Quite counter-intuitively, businesses are more likely to give digital referrals for peers residing in the same region, as well as for peers located in closer proximity. Further, results from the augmented digital network show that peer businesses in closer proximity exhibit greater strategic similarity in their digital referring strategy. Research limitations/implications The findings extend the understanding of business-to-business coopetition to the digital space and suggest that geographical framing and physical distance can induce reciprocated relationships between peers by offering each other digital referrals. Practical implications The findings shed light on the formation of a business-to-business digital coopetition strategy using digital referral marketing. Originality/value This study highlights the impact of digital referrals in business-to-business relationship management, especially in the digital coopetition context.

Factors determining behavioral intentions to use Islamic financial technology

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Darmansyah Darmansyah ◽  
Bayu Arie Fianto ◽  
Achsania Hendratmi ◽  
Primandanu Febriyan Aziz
Keyword(s):  
Latent Variables ◽  
Behavioral Intentions ◽  
Peer To Peer ◽  
Influential Factor ◽  
Equation Modeling ◽  
Data Set ◽  
Content Type ◽  
Peer Lending ◽  
Acceptance Model ◽  
Financial Technology

Purpose The purpose of this paper is to investigate the influential factors on behavioral intentions toward Islamic financial technology (FinTech) use in Indonesia, for all types of FinTech services as follows: payments, peer to peer lending and crowdfunding. Design/methodology/approach This study adopted structural equation modeling using the partial least squares approach to test the hypotheses. Based on purposive sampling, the questionnaire was distributed through an online survey and received 1,262 responses. Findings The results demonstrate that the latent variables, planned behavior, acceptance model and use of technology, have a significant impact on encouraging behavioral intentions to use Islamic FinTech. The “acceptance model” latent variable is the most influential factor. Research limitations/implications This study was conducted only in Indonesia; therefore, the results cannot be generalized to other countries. However, the study provides important strategic guidelines for policymakers in designing a framework to enhance the development of Islamic FinTech and to achieve financial inclusion. It is suggested that future studies include samples from FinTech users in different countries. Originality/value This study adds to the literature especially on the factors affecting behavioral intentions to use Islamic FinTech. There are limited studies concerning this topic, especially for Indonesia. The unique feature of this study is the use of a large primary data set that covers most provinces in Indonesia. Furthermore, this study focuses on three types of Islamic FinTech, namely, payments, peer to peer lending and crowdfunding.

scholarly journals Measuring the effectiveness of answers in Yahoo! Answers

2015 ◽  
Vol 39 (1) ◽  
pp. 104-118 ◽  
Author(s):  
Alton Y.K Chua ◽  
Snehasish Banerjee
Keyword(s):  
Design Methodology ◽  
Question Answering ◽  
Limited Attention ◽  
High Quality ◽  
Data Set ◽  
Content Type ◽  
Community Question Answering ◽  
The Past ◽  
Question Types ◽  
Track Record

Purpose – The purpose of this paper is to investigate the ways in which effectiveness of answers in Yahoo! Answers, one of the largest community question answering sites (CQAs), is related to question types and answerer reputation. Effective answers are defined as those that are detailed, readable, superior in quality and contributed promptly. Five question types that were studied include factoid, list, definition, complex interactive and opinion. Answerer reputation refers to the past track record of answerers in the community. Design/methodology/approach – The data set comprises 1,459 answers posted in Yahoo! Answers in response to 464 questions that were distributed across the five question types. The analysis was done using factorial analysis of variance. Findings – The results indicate that factoid, definition and opinion questions are comparable in attracting high quality as well as readable answers. Although reputed answerers generally fared better in offering detailed and high-quality answers, novices were found to submit more readable responses. Moreover, novices were more prompt in answering factoid, list and definition questions. Originality/value – By analysing variations in answer effectiveness with a twin focus on question types and answerer reputation, this study explores a strand of CQA research that has hitherto received limited attention. The findings offer insights to users and designers of CQAs.

Interaction effects between contract specificity, competence trust and goodwill trust upon supplier opportunism and relational stability

2019 ◽  
Vol 31 (3) ◽  
pp. 1505-1524 ◽  
Author(s):  
Meehee Cho ◽  
Mark A. Bonn ◽  
Benjamin B. Terrell
Keyword(s):  
Empirical Evidence ◽  
Structural Equation ◽  
Research Literature ◽  
Equation Modeling ◽  
Hierarchical Regression ◽  
Informal Governance ◽  
Data Set ◽  
Content Type ◽  
General Managers ◽  
Governance Strategies

Purpose This study was designed to offer empirical evidence about the significant impacts of supplier opportunism and relational stability upon restaurant performance. This study aims to investigate the extent to which competence and goodwill trust interact with contract specificity in mitigating supplier opportunism and improving relational stability. Design/methodology/approach This study obtained a data set using 324 account executives representing a US restaurant product supplier. These same account executives were also contacted to obtain data from general managers of their largest restaurant accounts. Structural equation modeling was used to assess the hypothesized relationships. Additionally, a two-step hierarchical regression analysis was used to test how contract specificity and trust interact upon supplier opportunism and relational stability. Findings Results revealed that contract specificity, competence and goodwill trust significantly reduced supplier opportunism and improved relational stability, which positively affected restaurant performance. Additionally, the interaction between contract specificity and goodwill trust significantly reduced the level of supplier opportunism, supporting the complementary role of goodwill trust for contract specificity. When goodwill trust interacted with contract specificity, it was found to significantly improve relational stability. Practical implications These results offer empirical evidence pertaining to the significant impacts of supplier opportunism and relational stability upon restaurant performance. Findings can be used to develop effective governance strategies to manage restaurant-supplier transactions. Originality/value Although the interaction between contract specificity and trust with respect to decreasing supplier opportunism and promoting relational stability has been a subject of debate in the supply chain management research literature, to date, no relevant research addressing this topic exists within the context of restaurant management. In this study, trust was particularly assessed based upon its two distinct roles (competence and goodwill) involving their interaction with contract specificity upon supplier opportunism and relational stability. The findings regarding those different roles of the two types of trust provide new insights into the existing knowledge about the use of both formal and informal governance specific to the restaurant industry.

The liquidity aspects of peer-to-peer lending

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tímea Ölvedi
Keyword(s):  
Discount Rate ◽  
Structural Break ◽  
Peer To Peer ◽  
Secondary Market ◽  
Added Value ◽  
Alternative Form ◽  
Data Set ◽  
Content Type ◽  
Peer Lending ◽  
The Impact

Purpose The purpose of this paper is to investigate investor behavior in the market of peer-to-peer lending, which is an alternative form of finance, from the liquidity perspective. Design/methodology/approach Liquidity metrics and regressions are used to identify the trend of the market and the variables that significantly impact the successful resale, selling time and discount rate in the secondary market. Structural break analysis is used to examine the impact of COVID on the market. Findings There is a high demand for performing loans that are sold quickly; however, the discount rate is also high, which reflects the price of liquidity. Based on the results obtained from regressions, the main factors that impact the investors’ decisions are discount rate, borrower’s country, principal and the month passed after loan origination. Furthermore, it can be concluded that the pandemic has led to a structural break in March 2020, and investors have started to liquidate their claims. Practical implications This paper’s purpose is to add to the research that examines the secondary market in social lending. It also contributes to the understanding of an investor’s decision and behavior, which are key parts of the segment’s long-term sustainability from the demand perspective. The comprehensive understanding of a lender’s behavior is also essential for supervisory authorities and other participants of the financial market. Originality/value Previous studies mostly focused on credit risk aspects, whereas this paper contributes to the modest research of liquidity features. The added value of this paper is further supported by the use of a large European secondary market data set, including more than 5 million transactions, covering an 18-month horizon. Moreover, the market’s sensitivity is analyzed in the case of an external shock. In the beginning of 2020, the COVID outbreak caused an economic shutdown in many European countries. The paper examines how these uncertain economic conditions impact the secondary market.

Maximizing visitors at college football bowl games

2017 ◽  
Vol 8 (3) ◽  
pp. 261-273 ◽  
Author(s):  
Nels Popp ◽  
Jonathan Jensen ◽  
Rhett Jackson
Keyword(s):  
College Football ◽  
Hierarchical Regression ◽  
Future Research ◽  
Sporting Events ◽  
Event Management ◽  
Data Set ◽  
Current Season ◽  
Content Type ◽  
Hierarchical Regression Model ◽  
Tourism Professionals

Purpose The purpose of this paper is to isolate factors predictive of event attendees, and assist tourism professionals such as members of host committees, in maximizing the number of out-of-town visitors to their region and optimizing tourism-related revenue when hosting college football bowl games. Design/methodology/approach A total of 16 demand variables were entered into a hierarchical regression model, including the stature of the event and market-related variables, as well as team-related variables reflecting team or program stature and current season performance. Findings A final model containing seven variables (bowl age, market population, conference affiliation, bowl game stature, season wins, home attendance, and distance traveled) predicted 77.5 percent of the variance in bowl game attendance. Research limitations/implications This paper illustrates the use of predictive modeling for major sport event attendance with a unique sample and variables explored. Future research may build off the model to explore attendance for other populations or events. Practical implications The applied nature of this study allows practitioners working in the tourism and event management field to incorporate a predictive model to best select participants in sporting events to maximize event attendees. Originality/value Understanding the variables which predict event attendees in the context of college football bowl games provide useful data to practitioners. This study advances this area of research by treating event participants as unique observations (something which has not been done in prior studies), and looking at a new data set which incorporates the College Football Playoff era.

The effects of goals attainment on CEO-owner satisfaction and the role of family involvement

2019 ◽  
Vol 10 (2) ◽  
pp. 116-127
Author(s):  
Ondřej Machek ◽  
Jiří Hnilica
Keyword(s):  
Family Involvement ◽  
Family Business ◽  
Firm Value ◽  
Family Firms ◽  
Hierarchical Regression ◽  
Content Type ◽  
Business Goals ◽  
Growth Increase ◽  
The Family ◽  
Owner Satisfaction

Purpose The purpose of this paper is to examine how the satisfaction with economic and non-economic goals achievement is related to the overall satisfaction with the business of the CEO-owner, and whether family involvement moderates this relationship. Design/methodology/approach Based on a survey among 323 CEO-owners of family and non-family businesses operating in the Czech Republic, the authors employ the OLS hierarchical regression analysis and test the moderating effects of family involvement on the relationship between the satisfaction with different goals attainment and the overall satisfaction with the business. Findings The main finding is that family and non-family CEO-owner’s satisfaction does not differ significantly when economic goals (profit maximisation, sales growth, increase in market share or firm value) and firm-oriented non-economic goals (satisfaction of employees, corporate reputation) are being achieved; both classes of goals increase the overall satisfaction with the firm and the family involvement does not strengthen this relationship. However, when it comes to external non-economic goals related to the society or environment, there is a significant and positive moderating effect of family involvement. Originality/value The study contributes to the family business literature. First, to date, most of the studies focused on family business goals have been qualitative, thus not allowing for generalisation of findings. Second, there is a lack of evidence on the ways in which family firms integrate their financial and non-financial goals. Third, the authors contribute to the literature on the determinants of personal satisfaction with the business for CEOs, which has been the focus on a relatively scarce number of studies.

Financial distress determinants among SMEs: empirical evidence from Sweden

2020 ◽  
Vol 47 (3) ◽  
pp. 547-560 ◽  
Author(s):  
Darush Yazdanfar ◽  
Peter Öhman
Keyword(s):  
Financial Crisis ◽  
Financial Distress ◽  
Large Scale ◽  
Global Financial Crisis ◽  
Binary Logistic Regression ◽  
Data Availability ◽  
Cross Sectional ◽  
Data Set ◽  
Content Type ◽  
The Global Financial Crisis

PurposeThe purpose of this study is to empirically investigate determinants of financial distress among small and medium-sized enterprises (SMEs) during the global financial crisis and post-crisis periods.Design/methodology/approachSeveral statistical methods, including multiple binary logistic regression, were used to analyse a longitudinal cross-sectional panel data set of 3,865 Swedish SMEs operating in five industries over the 2008–2015 period.FindingsThe results suggest that financial distress is influenced by macroeconomic conditions (i.e. the global financial crisis) and, in particular, by various firm-specific characteristics (i.e. performance, financial leverage and financial distress in previous year). However, firm size and industry affiliation have no significant relationship with financial distress.Research limitationsDue to data availability, this study is limited to a sample of Swedish SMEs in five industries covering eight years. Further research could examine the generalizability of these findings by investigating other firms operating in other industries and other countries.Originality/valueThis study is the first to examine determinants of financial distress among SMEs operating in Sweden using data from a large-scale longitudinal cross-sectional database.

Light touch, heavy hand: principals and data-use PLCs

2017 ◽  
Vol 55 (4) ◽  
pp. 376-389 ◽  
Author(s):  
Alice Huguet ◽  
Caitlin C. Farrell ◽  
Julie A. Marsh
Keyword(s):  
Professional Learning ◽  
Low Income ◽  
Equal Opportunity ◽  
Data Use ◽  
Opportunity To Learn ◽  
School Level ◽  
Comparative Case Study ◽  
Data Set ◽  
Content Type ◽  
Principal's Role

Purpose The use of data for instructional improvement is prevalent in today’s educational landscape, yet policies calling for data use may result in significant variation at the school level. The purpose of this paper is to focus on tools and routines as mechanisms of principal influence on data-use professional learning communities (PLCs). Design/methodology/approach Data were collected through a comparative case study of two low-income, low-performing schools in one district. The data set included interview and focus group transcripts, observation field notes and documents, and was iteratively coded. Findings The two principals in the study employed tools and routines differently to influence ways that teachers interacted with data in their PLCs. Teachers who were given leeway to co-construct data-use tools found them to be more beneficial to their work. Findings also suggest that teachers’ data use may benefit from more flexibility in their day-to-day PLC routines. Research limitations/implications Closer examination of how tools are designed and time is spent in data-use PLCs may help the authors further understand the influence of the principal’s role. Originality/value Previous research has demonstrated that data use can improve teacher instruction, yet the varied implementation of data-use PLCs in this district illustrates that not all students have an equal opportunity to learn from teachers who meaningfully engage with data.

Sign in / Sign up

Export Citation Format

Share Document