What should developers be aware of? An empirical study on the directives of API documentation

Application Programming Interfaces (API) are exposed to developers in order to reuse software libraries. API directives are natural-language statements in API documentation that make developers aware of constraints and guidelines related to the usage of an API. This paper presents the design and the results of an empirical study on the directives of API documentation of object-oriented libraries. Its main contribution is to propose and extensively discuss a taxonomy of 23 kinds of API directives.     

Factors influencing consumers’ repurchase behavior on fresh food e-commerce platforms: An empirical study

The e-commerce of fresh commodities keeps being adaptive to the change of consumer consumption attitudes and behavior in the current era of global economy. In the fierce competition of the industry, how to attract and retain customers more efficiently and increase consumer repurchase behavior is a long-term concern for fresh food e-commerce platforms. This research aims to focus on how the fresh e-commerce platforms can reduce consumer conversion to other forms of purchase and increase consumer repurchase. In this paper a research model is constructed whereby a set of perceived value scales is generated to evaluate consumer repurchase behavior. Data from a sample of 515 consumers is collected through a web-based questionnaire, and structural equation modeling is used to test the research hypotheses and empirically investigate the factors and internal mechanisms influencing repurchase behavior on fresh e-commerce platforms. Results from the analysis show that the product quality and product price from the product-side, perceived ease of use, reliability, response speed and convenience from the service-side, and subjective norms of the consumer personal factors impose significant effects on consumer satisfaction. consumer satisfaction plays a key mediating role in consumer repurchase behavior. Guidance and suggestions for the operation processes of e-commerce platforms are developed based on these key factors to cultivate customer loyalty and attract potential customers more specifically. Moreover, the examination of the factors from the three dimensions promotes the e-commerce platforms to raise their service level by enhancing their supply chain as the bottom rocks of the platform enterprises.     

Information or attention? An empirical study of user contribution on Twitter

Social broadcasting services, such as Twitter and YouTube, are revolutionizing the way we access information and publish our own content. What is the key innovation of such services? We argue that the key innovation of social broadcasting services is recognizing and connecting people’s need for information and attention. While the value of information is widely studied, the importance of attention is less well understood. We use a collection of nearly 3 million Twitter user profiles to study the cross-sectional characteristics of user behavior; we also monitor 521 active Twitter users over a period of 282 days to carry out time-series analyses and a panel data analysis of user behavior. The empirical results consistently suggest that people’s search for attention is an important motivation for them to contribute content on Twitter. This finding supports our conceptual view of social broadcasting services as innovative platforms connecting people’s need for information and attention. It also has important implications for practitioners in this booming field.     

Can people experience romantic love for artificial intelligence? An empirical study of intelligent assistants

Along with the development of artificial intelligence (AI), more IT applications based on AI are being created. A personal intelligent assistant is an AI application that provides information, education, consulting, or entertainment to users. Due to their high levels of cognitive and emotional capabilities, we assume that users can form humanlike relationships with intelligent assistants, therefore, we develop a research model based on the theory of love. Data were collected from users of intelligent assistants through a survey. The results indicate that users can develop intimacy and passion for an AI application similar to that experienced with human beings. These feelings are related to users’ commitment, promoting the usage of an intelligent assistant, influenced by AI factors (performance efficacy and emotional capability), and moderated by human trust disposition.     

How do product recommendations affect impulse buying? An empirical study on WeChat social commerce

Social commerce is creating increasing opportunities for consumers to access product recommendations. Evidence from practical and academic literature shows that product recommendations may lead to impulse buying, yet relatively limited research exists on this topic. Based on the signaling theory, this research proposes a model to examine how product recommendations on social media affect a user’s urge to buy impulsively. Our results indicate that urge to buy impulsively is determined by affective trust in the recommender and affection toward the recommended product, which are influenced by both recommender-related signals (information quality and similarity) and product-related signals (vicarious expression and aesthetic appeal).     

What motivates consumer to engage in microblogs? The roles of brand post characteristics and brand prestige

Electronic Commerce Research - Microblogs have gained concerns from both academics and practitioners owing to their great potential for communication and diffusion. Brand managers can release posts...     

To what extent can maintenance problems be predicted by code smell detection? – An empirical study

ContextCode smells are indicators of poor coding and design choices that can cause problems during software maintenance and evolution.ObjectiveThis study is aimed at a detailed investigation to which extent problems in maintenance projects can be predicted by the detection of currently known code smells.MethodA multiple case study was conducted, in which the problems faced by six developers working on four different Java systems were registered on a daily basis, for a period up to four weeks. Where applicable, the files associated to the problems were registered. Code smells were detected in the pre-maintenance version of the systems, using the tools Borland Together and InCode. In-depth examination of quantitative and qualitative data was conducted to determine if the observed problems could be explained by the detected smells.ResultsFrom the total set of problems, roughly 30% percent were related to files containing code smells. In addition, interaction effects were observed amongst code smells, and between code smells and other code characteristics, and these effects led to severe problems during maintenance. Code smell interactions were observed between collocated smells (i.e., in the same file), and between coupled smells (i.e., spread over multiple files that were coupled).ConclusionsThe role of code smells on the overall system maintainability is relatively minor, thus complementary approaches are needed to achieve more comprehensive assessments of maintainability. Moreover, to improve the explanatory power of code smells, interaction effects amongst collocated smells and coupled smells should be taken into account during analysis.     

Can competitive advantage be achieved through knowledge management? A case study on SMEs

Unlike most Knowledge Management (KM) studies which focus on large enterprises, this study focuses on SMEs in Malaysia which represent 99.2% of the total business establishments, the largest percentage of establishments in the country. The tridimensional relationship between KM practices, technological innovation (TI) and competitive advantage (CA) was examined in this case study. Survey approach was conducted to gather data from managers of the manufacturing SMEs and 195 samples were usable for statistical analysis using Partial-Least-Square Structural Equation Modeling (PLS-SEM)-Artificial Neural Network (ANN). The use of the combined PLS-SEM and ANN analysis can provide a significant methodological contribution and substantial impacts to the world of expert and intelligent systems and could be the next methodological research paradigm. Findings validated that KM has a direct positive and significant relation with both TI and CA; while TI positively and significantly affects CA. Most outstandingly, the mediating role of TI that connects KM and CA has been proven to be positive and significant. This paper utilizes samples that were collected from Malaysian SMEs only; therefore the findings cannot be generalized to represent the larger firms. Nevertheless, conclusions garnered from the present research can help both practitioners of the manufacturing SMEs and scholars in implementing the correct KM strategies, so that both TI and CA can be enhanced and improved.     

Why do users switch to a disruptive technology? An empirical study based on expectation-disconfirmation theory

A general technology switching model (TSM) is proposed to explain why IT users switch from an incumbent technology to a disruptive one. Seven research hypotheses derived from this model are validated using a field survey of feature phone users in Korea. The results indicate that users’ switching intention is determined by their expectations regarding the disruptive technology and dissatisfaction with the incumbent technology. User dissatisfaction is influenced by disconfirmation of previously held beliefs regarding ones incumbent technology and ones expectations for the disruptive technology. Switching cost is revealed not significant in the decision to acquire a disruptive technology.     

How Java APIs break – An empirical study

ContextIt has become common practice to build programs by using libraries. While the benefits of reuse are well known, an often overlooked risk are system runtime failures due to API changes in libraries that evolve independently. Traditionally, the consistency between a program and the libraries it uses is checked at build time when the entire system is compiled and tested. However, the trend towards partially upgrading systems by redeploying only evolved library versions results in situations where these crucial verification steps are skipped. For Java programs, partial upgrades create additional interesting problems as the compiler and the virtual machine use different rule sets to enforce contracts between the providers and the consumers of APIs.ObjectiveWe have studied the extent of the problem in real world programs. We were interested in two aspects: the compatibility of API changes as libraries evolve, and the impact this has on programs using these libraries.MethodThis study is based on the qualitas corpus version 20120401. A data set consisting of 109 Java open-source programs and 564 program versions was used from this corpus. We have investigated two types of library dependencies: explicit dependencies to embedded libraries, and dependencies defined by symbolic references in Maven build files that are resolved at build time. We have used JaCC for API analysis, this tool is based on the popular ASM byte code analysis library.ResultsWe found that for most of the programs we investigated, APIs are unstable as incompatible changes are common. Surprisingly, there are more compatibility problems in projects that use automated dependency resolution. However, we found only a few cases where this has an actual impact on other programs using such an API.ConclusionIt is concluded that API instability is common and causes problems for programs using these APIs. Therefore, better tools and methods are needed to safeguard library evolution.     

Does social network always promote entrepreneurial intentions? An empirical study in China

In order to verify how social network affects entrepreneurial intentions, a theoretical model is developed between network, entrepreneurial desirability, entrepreneurial feasibility and entrepreneurial intentions. As for empirical studies, a structural equation model is developed and several hypotheses are tested based on Chinese College-graduate Village Officials’ samples. Results showed that three social network dimensions, which are network size, network heterogeneity and properties of top node, affect entrepreneurial intentions significantly. Specifically, entrepreneurial intention is negatively correlated with properties of top node and the size of the social network; significant positive correlation is found between heterogeneity of social network and entrepreneurial intentions. Besides, entrepreneurial desirability and entrepreneurial feasibility are two mediators between network heterogeneity and entrepreneurial intension. This paper has also found that social networks sometimes may become an obstacle for College-graduate Village Official to start a business. The theoretical and practical implications for policymaker of the study’s findings are also discussed.     

Are you ready for knowledge sharing? An empirical study of virtual communities

This study aimed to explore the relationship between knowledge sharing intentions and the perceptions of individual technology users who are members of virtual communities. We characterized learners' perceptions of new technological products or services by including both an individual's psychological state of readiness to accept technology and also compatibility as factors affecting technology acceptance. By adopting virtual communities as samples for this empirical study, the Technology Acceptance Model, Technology Readiness Index, and the factor of compatibility were integrated in order to explore users' perceptions of technology. We analyzed the responses of 218 participants from these virtual communities using structural equation modeling. The empirical results showed that an individual's positive attitude, such as optimism, toward the Technology Readiness Index positively affects acceptance of technology; an individual's negative perception of the Technology Readiness Index, such as discomfort, has a negative effect on his or her sense of the perceived ease of technology and compatibility in regard to prior experience and technology. A sense of insecurity toward the new technology also showed a significant effect on the individual's perceptions of the usefulness of technology. The results of this research demonstrated that improving an individual's degree of adaptability to technology could increase knowledge-sharing intentions in virtual communities. Meanwhile, the degree of the individual's discomfort with technology did not hinder knowledge-sharing intentions.     

Who will stay with the brand after posting non-5/5 rating of purchase? An empirical study of online consumer repurchase behavior

Information Systems and e-Business Management - Customer retention has been fully examined in marketing research. It has been noticed that satisfied customers do not always retain and customer...     

Can computers be teammates?

This study investigated the claim that humans will readily form team relationships with computers. Drawing from the group dynamic literature in human-human interactions, a laboratory experiment (n=56) manipulated identity and interdependence to create team affiliation in a human-computer interaction. The data show that subjects who are told they are interdependent with the computer affiliate with the computer as a team. The data also show that the effects of being in a team with a computer are the same as the effects of being in a team with another human: subjects in the interdependence conditions perceived the computer to be more similar to themselves, saw themselves as more cooperative, were more open to influence from the computer, thought the information from the computer was of higher quality, found the information from the computer friendlier, and conformed more to the computer's information. Subjects in the identity conditions showed neither team affiliation nor the effects of team affiliation.     

An empirical study of managers’ usage intention in BI

In a changing business environment, data within and around organizations rapidly accumulate. In recent years, many organizations have implemented business intelligence (BI) to manage and refine the vast stocks of data. The effective use of BI can support managers to make faster and better decisions. The goal of this study is to investigate how to increase a manager’s intention to read information and to create reports. Based on the technology acceptance model, a research model is developed and tested to assess the factors (i.e., usefulness and ease of use) affecting a manager’s intention to use BI. In addition, the relationship between the intention to read information and the intention to create reports is linked using Dholakia and Bagozzi (D&B) model. A survey of 271 managers supports the proposed model. The empirical results show that the usefulness of BI directly and indirectly affects the intention to read information. Both the reading and creating interfaces of BI affect the intention to read information and the intention to create reports, respectively. The intention to read information positively and significantly affects the intention to create reports. Given the empirical findings, this study provides theoretical and managerial insights for organizations and managers.     

How do social-based cues influence consumers’ online purchase decisions? An event-related potential study

Product rating and sales are two important social-based cues in online shopping. This study applies the event-related potential (ERP) approach to explore the underlying neural mechanism of the joint influence of these two cues on consumers’ decision-making. Behavioral data show that product rating has a greater impact on the purchasing rate than sales, which positively moderates the latter’s effect and supports cue-diagnosticity theory. Electrophysiological data provide further explanations for the observed behavioral pattern. Analyses of main ERP components suggest that consumers go through a series of cognitive processes from processing of perceived risk (N2) and informational conflict (N400) to evaluative categorization (LPP) before making the final purchasing decision. Specifically, product rating significantly influences the risk perception while the combination of high rating and low sales elicits significant cognitive conflict. Both cues are adopted by consumers to make an overall evaluation based on their similarity to the criterion.     

Can learning be virtually boosted? An investigation of online social networking impacts

Online social networking has deeply penetrated university campuses, influencing multiple aspects of student life. We investigate the impacts of individual online social networking engagement (e.g., on Facebook) from a pedagogical standpoint. Based on social learning theory, we argue that two socialization processes, social acceptance and acculturation, bridge individual online social networking engagement with three domains of social learning outcomes. Results from a survey accompanied by focus group discussions demonstrate the substantial impacts of university student online social networking engagement on social learning processes and outcomes. Online social networking not only directly influences university students’ learning outcomes, but also helps the students attain social acceptance from others and adapt to university culture, both of which play prominent roles in improving their learning outcomes.     

“Working out for likes”: An empirical study on social influence in exercise gamification

Today, people use a variety of social and gameful (mobile) applications in order to motivate themselves and others to maintain difficult habits such as exercise, sustainable consumption and healthy eating. However, we have yet lacked understanding of how social influence affects willingness to maintain these difficult habits with the help of gamification services. In order to investigate this phenomenon, we measured how social influence predicts attitudes, use and further exercise in the context of gamification of exercise. Our results show that people indeed do “work out for likes”, or in other words, social influence, positive recognition and reciprocity have a positive impact on how much people are willing to exercise as well as their attitudes and willingness to use gamification services. Moreover, we found that the more friends a user has in the service, the larger the effects are. Furthermore, the findings of the empirical study further provide new understanding on the phenomenon of social influence in technology adoption/use continuance in general by showing, in addition to subjective norms, how getting recognized, receiving reciprocal benefits and network effects contribute to use continuance.