Pub Date : 2022-04-15DOI: 10.1108/itp-09-2020-0643
Md Rasel Al Mamun, V. Prybutok, D. Peak, Russell Torres, R. Pavur
PurposeThis study aims to examine the relationship between emotional attachment (EA) and intelligent personal assistant (IPA) continuance intention. While existing theories emphasize purely rational and goal-oriented factors in terms of information technology (IT) continuance intention, this research examines how users' EA toward technology impacts their continuance intention in the absence of cognitive and habitual factors.Design/methodology/approachThis study contextualizes attachment theory from the social psychology/consumer psychology literature to an IT application and formulates and tests a new model that is proposed in the context of IPA continuance. Five research hypotheses developed from contextualization and application of the theory were posited in a structural model and empirically validated using survey results from IPA users.FindingsThe results show that users' EA to IPA use significantly influences their IPA continuance intention, along with emotional trust and interaction quality with the IPA.Originality/valueThis study contextualizes attachment theory developed in the social psychology/consumer psychology literature to formulate and test a new model in the context of IPA continuance. This work contributes to the theoretical understanding by investigating IPA continuance intention in the absence of cognitive or habitual factors and fills a critical research gap in IT post-adoption literature. IPA is just one example of technologies to which individuals can form attachments and this research provides an important foundation for future research by positing and testing the value of EA in IT post-adoption behavior. This research also contributes to practical knowledge by inferring that IPA manufacturers, managers and vendors could extend their revenue streams by integrating product features that capture emotion.
{"title":"The role of emotional attachment in IPA continuance intention: an emotional attachment model","authors":"Md Rasel Al Mamun, V. Prybutok, D. Peak, Russell Torres, R. Pavur","doi":"10.1108/itp-09-2020-0643","DOIUrl":"https://doi.org/10.1108/itp-09-2020-0643","url":null,"abstract":"PurposeThis study aims to examine the relationship between emotional attachment (EA) and intelligent personal assistant (IPA) continuance intention. While existing theories emphasize purely rational and goal-oriented factors in terms of information technology (IT) continuance intention, this research examines how users' EA toward technology impacts their continuance intention in the absence of cognitive and habitual factors.Design/methodology/approachThis study contextualizes attachment theory from the social psychology/consumer psychology literature to an IT application and formulates and tests a new model that is proposed in the context of IPA continuance. Five research hypotheses developed from contextualization and application of the theory were posited in a structural model and empirically validated using survey results from IPA users.FindingsThe results show that users' EA to IPA use significantly influences their IPA continuance intention, along with emotional trust and interaction quality with the IPA.Originality/valueThis study contextualizes attachment theory developed in the social psychology/consumer psychology literature to formulate and test a new model in the context of IPA continuance. This work contributes to the theoretical understanding by investigating IPA continuance intention in the absence of cognitive or habitual factors and fills a critical research gap in IT post-adoption literature. IPA is just one example of technologies to which individuals can form attachments and this research provides an important foundation for future research by positing and testing the value of EA in IT post-adoption behavior. This research also contributes to practical knowledge by inferring that IPA manufacturers, managers and vendors could extend their revenue streams by integrating product features that capture emotion.","PeriodicalId":13533,"journal":{"name":"Inf. Technol. People","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78454487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-12DOI: 10.1108/itp-10-2020-0694
S. Muhammad, B. Dey, S. Alwi, M. Kamal, Yousra Asaad
PurposeDespite consumers' widespread use of social media platforms, there is scant research on the underlying factors that influence their willingness to share digital footprints on social media. The purpose of this study is to address this research gap by examining consumers' cognitive and affective attitudes simultaneously.Design/methodology/approachThis research used quantitative method by using online survey administered to a sample of 733 social media users.FindingsThe findings indicate both cognitive and affective attitudes jointly influence consumers' behavioural intentions with trust as a key construct mediating the relationship between attitudinal antecedents and consumers' willingness to share digital footprints on social media.Research limitations/implicationsThis study contributes to the information systems (IS) literature by offering a comprehensive framework constituting the joint attitudinal components as antecedents to consumers' behavioural intention for sharing digital footprints while trust works as a mediator.Practical implicationsThis paper has important managerial implications. It helps marketers and IS managers in profiling consumers, understanding consumption patterns, sharing of digital footprints, which are useful for effective market segmentation, product development and future design of social media platforms. It informs social media providers of the importance of not only focussing on functional aspects but also underscores the essence of paying attention to consumers' affect towards social media platforms, especially trust.Originality/valueThe paper presents an original framework that explains the influence of joint attitudinal components on behavioural intention, with trust as a mediator.
{"title":"Consumers' willingness to share digital footprints on social media: the role of affective trust","authors":"S. Muhammad, B. Dey, S. Alwi, M. Kamal, Yousra Asaad","doi":"10.1108/itp-10-2020-0694","DOIUrl":"https://doi.org/10.1108/itp-10-2020-0694","url":null,"abstract":"PurposeDespite consumers' widespread use of social media platforms, there is scant research on the underlying factors that influence their willingness to share digital footprints on social media. The purpose of this study is to address this research gap by examining consumers' cognitive and affective attitudes simultaneously.Design/methodology/approachThis research used quantitative method by using online survey administered to a sample of 733 social media users.FindingsThe findings indicate both cognitive and affective attitudes jointly influence consumers' behavioural intentions with trust as a key construct mediating the relationship between attitudinal antecedents and consumers' willingness to share digital footprints on social media.Research limitations/implicationsThis study contributes to the information systems (IS) literature by offering a comprehensive framework constituting the joint attitudinal components as antecedents to consumers' behavioural intention for sharing digital footprints while trust works as a mediator.Practical implicationsThis paper has important managerial implications. It helps marketers and IS managers in profiling consumers, understanding consumption patterns, sharing of digital footprints, which are useful for effective market segmentation, product development and future design of social media platforms. It informs social media providers of the importance of not only focussing on functional aspects but also underscores the essence of paying attention to consumers' affect towards social media platforms, especially trust.Originality/valueThe paper presents an original framework that explains the influence of joint attitudinal components on behavioural intention, with trust as a mediator.","PeriodicalId":13533,"journal":{"name":"Inf. Technol. People","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85108536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-11DOI: 10.1108/itp-04-2021-0300
Sonda Bouattour Fakhfakh, F. Bouaziz
PurposeThe purpose of this paper is to investigate the effects of social network sites (SNS) overload on individual job performance and discontinuous usage intention.Design/methodology/approachBased on the Stressor-Strain-Outcome (SSO) framework, a research model was proposed and tested empirically. The partial least squares structural equation modeling (PLS-SEM) method was applied to data collected online through a questionnaire.FindingsFindings highlighted that social overload is related positively to information overload and communication overload. Information overload affected only the perception of work overload, while communication overload was a significant stressor affecting work overload and dissatisfaction towards SNS. Although results revealed a positive relationship between these two strains, only dissatisfaction influenced job performance and discontinuous usage intention.Originality/valueAs much as SNS are a useful tool in the workplace, they can have significant drawbacks. Prior studies have investigated this dark side. However, they scantily explored the effects of SNS overload on both job performance and discontinuous usage intention. Moreover, the relationships between types of overload are understudied. This paper proposes an enrichment of the literature by validating a model of the relationships between information overload, communication overload and social overload, job performance and discontinuous usage intention. It extends prior research on SNS stressors and points out the communication overload as the main SNS stressor affecting strains in the workplace.
{"title":"Effects of SNS overload and dissatisfaction on job performance and discontinuous usage intention","authors":"Sonda Bouattour Fakhfakh, F. Bouaziz","doi":"10.1108/itp-04-2021-0300","DOIUrl":"https://doi.org/10.1108/itp-04-2021-0300","url":null,"abstract":"PurposeThe purpose of this paper is to investigate the effects of social network sites (SNS) overload on individual job performance and discontinuous usage intention.Design/methodology/approachBased on the Stressor-Strain-Outcome (SSO) framework, a research model was proposed and tested empirically. The partial least squares structural equation modeling (PLS-SEM) method was applied to data collected online through a questionnaire.FindingsFindings highlighted that social overload is related positively to information overload and communication overload. Information overload affected only the perception of work overload, while communication overload was a significant stressor affecting work overload and dissatisfaction towards SNS. Although results revealed a positive relationship between these two strains, only dissatisfaction influenced job performance and discontinuous usage intention.Originality/valueAs much as SNS are a useful tool in the workplace, they can have significant drawbacks. Prior studies have investigated this dark side. However, they scantily explored the effects of SNS overload on both job performance and discontinuous usage intention. Moreover, the relationships between types of overload are understudied. This paper proposes an enrichment of the literature by validating a model of the relationships between information overload, communication overload and social overload, job performance and discontinuous usage intention. It extends prior research on SNS stressors and points out the communication overload as the main SNS stressor affecting strains in the workplace.","PeriodicalId":13533,"journal":{"name":"Inf. Technol. People","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87969087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-11DOI: 10.1108/itp-09-2021-0706
Grace Fox, Theo Lynn, P. Rosati
PurposeThe General Data Protection Regulation (GDPR) introduces significant data protection obligations on all organizations within the European Union (EU) and those transacting with EU citizens. This paper presents the GDPR privacy label and uses two empirical studies to examine the effectiveness of this approach in influencing consumers' privacy perceptions and related behavioral intentions.Design/methodology/approachThe paper tests the efficacy of two GDPR privacy label designs, a consent-based label and a static label. Study 1 examines the effects of each label on perceptions of risk, control and privacy. Study 2 investigates the influence of consumers' privacy perceptions on perceived trustworthiness and willingness to interact with the organization.FindingsThe findings support the potential of GDPR privacy labels for positively influencing perceptions of risk, control, privacy and trustworthiness and enhancing consumers' willingness to transact and disclose data to online organizations.Practical implicationsThe findings are useful for organizations required to comply with the GDPR and present a solution to requirements for transparent communications and explicit consent.Originality/valueThis study examines and demonstrates the efficacy of visualized privacy policies in impacting consumer privacy perceptions and behavioral intentions.
{"title":"Enhancing consumer perceptions of privacy and trust: a GDPR label perspective","authors":"Grace Fox, Theo Lynn, P. Rosati","doi":"10.1108/itp-09-2021-0706","DOIUrl":"https://doi.org/10.1108/itp-09-2021-0706","url":null,"abstract":"PurposeThe General Data Protection Regulation (GDPR) introduces significant data protection obligations on all organizations within the European Union (EU) and those transacting with EU citizens. This paper presents the GDPR privacy label and uses two empirical studies to examine the effectiveness of this approach in influencing consumers' privacy perceptions and related behavioral intentions.Design/methodology/approachThe paper tests the efficacy of two GDPR privacy label designs, a consent-based label and a static label. Study 1 examines the effects of each label on perceptions of risk, control and privacy. Study 2 investigates the influence of consumers' privacy perceptions on perceived trustworthiness and willingness to interact with the organization.FindingsThe findings support the potential of GDPR privacy labels for positively influencing perceptions of risk, control, privacy and trustworthiness and enhancing consumers' willingness to transact and disclose data to online organizations.Practical implicationsThe findings are useful for organizations required to comply with the GDPR and present a solution to requirements for transparent communications and explicit consent.Originality/valueThis study examines and demonstrates the efficacy of visualized privacy policies in impacting consumer privacy perceptions and behavioral intentions.","PeriodicalId":13533,"journal":{"name":"Inf. Technol. People","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81476711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-08DOI: 10.1108/itp-01-2021-0049
C. Bianchi, S. Tuzovic, V. Kuppelwieser
PurposeThis empirical study examines the drivers of consumer intention to adopt wearable technology for healthcare in a South American country. Specifically, it proposes and tests a model of nonuser consumer intention to adopt fitness trackers for healthcare purpose in Chile.Design/methodology/approachThis study draws on the technology acceptance framework UTAUT2 to develop and test a conceptual model of wearable technology adoption. Data were collected through an online survey applied to 470 nonusers of wearable technology in Santiago, Chile.FindingsFindings indicate that hedonic motivation, social influence and perceived usefulness have the strongest influence on intention to adopt fitness trackers in Chile for healthcare. In addition, health motivation is an indirect predictor of consumer's intention to adopt wearable technology through its effect on perceived usefulness.Practical implicationsThe study contributes to a better understanding of consumer intention to adopt wearable technology for healthcare objectives in a less developed country in South America. Findings are useful for wearable technology managers, retail business and public policymakers.Originality/valueDespite the vast growth and importance of wearable technology for healthcare purposes, academic research considering less developed countries is scarce, especially the South American region. The proposed model and findings can extend this research gap. Theoretical and managerial implications are discussed as well as implications for public policy.
{"title":"Investigating the drivers of wearable technology adoption for healthcare in South America","authors":"C. Bianchi, S. Tuzovic, V. Kuppelwieser","doi":"10.1108/itp-01-2021-0049","DOIUrl":"https://doi.org/10.1108/itp-01-2021-0049","url":null,"abstract":"PurposeThis empirical study examines the drivers of consumer intention to adopt wearable technology for healthcare in a South American country. Specifically, it proposes and tests a model of nonuser consumer intention to adopt fitness trackers for healthcare purpose in Chile.Design/methodology/approachThis study draws on the technology acceptance framework UTAUT2 to develop and test a conceptual model of wearable technology adoption. Data were collected through an online survey applied to 470 nonusers of wearable technology in Santiago, Chile.FindingsFindings indicate that hedonic motivation, social influence and perceived usefulness have the strongest influence on intention to adopt fitness trackers in Chile for healthcare. In addition, health motivation is an indirect predictor of consumer's intention to adopt wearable technology through its effect on perceived usefulness.Practical implicationsThe study contributes to a better understanding of consumer intention to adopt wearable technology for healthcare objectives in a less developed country in South America. Findings are useful for wearable technology managers, retail business and public policymakers.Originality/valueDespite the vast growth and importance of wearable technology for healthcare purposes, academic research considering less developed countries is scarce, especially the South American region. The proposed model and findings can extend this research gap. Theoretical and managerial implications are discussed as well as implications for public policy.","PeriodicalId":13533,"journal":{"name":"Inf. Technol. People","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83497424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-07DOI: 10.1108/itp-08-2020-0556
Edward W. N. Bernroider, G. Harindranath, S. Kamel
PurposeThe purpose of this study is to investigate the role of connective action characterised by interconnection and personal communication on social media (SM) for participating in collective action in the physical world of social movements.Design/methodology/approachA research model is developed integrating different modes of connective action into the social identity model of collective action (SIMCA) to investigate pathways to participating in offline collective action (CA) from an individual perspective. Following a survey design approach, data collected from 194 respondents in the background of Egypt's social movements are examined using partial least squares (PLS) path modelling and mediation analyses.FindingsThe authors' main results reveal that interactive socialisation (IS) on SM provides an important momentum for the user to internalise (consume) and externalise (share) content online from a social learning perspective. In terms of translating these activities to participating in offline CA, the authors find support for two independent causal chains: An “instrumental” chain building on content externalisation (CE) and efficacy considerations and an “obligatory” chain based on content internalisation (CI) and collective identity.Originality/valueThe authors' results highlight the individual-level origins of offline mobilisation in social movements, which are not only grounded in social-psychology, but also develop out of interrelated connective actions supporting social learning. Prior work has mainly conceptualised the value of SM in social movements for online political communication. The authors' conceptualisation is novel in terms of integrating online and offline behaviours with social-psychological perspectives and the application with primary data in a protest movement context that heavily relied on connective actions for offline mobilisation.
{"title":"From connective actions in social movements to offline collective actions: an individual level perspective","authors":"Edward W. N. Bernroider, G. Harindranath, S. Kamel","doi":"10.1108/itp-08-2020-0556","DOIUrl":"https://doi.org/10.1108/itp-08-2020-0556","url":null,"abstract":"PurposeThe purpose of this study is to investigate the role of connective action characterised by interconnection and personal communication on social media (SM) for participating in collective action in the physical world of social movements.Design/methodology/approachA research model is developed integrating different modes of connective action into the social identity model of collective action (SIMCA) to investigate pathways to participating in offline collective action (CA) from an individual perspective. Following a survey design approach, data collected from 194 respondents in the background of Egypt's social movements are examined using partial least squares (PLS) path modelling and mediation analyses.FindingsThe authors' main results reveal that interactive socialisation (IS) on SM provides an important momentum for the user to internalise (consume) and externalise (share) content online from a social learning perspective. In terms of translating these activities to participating in offline CA, the authors find support for two independent causal chains: An “instrumental” chain building on content externalisation (CE) and efficacy considerations and an “obligatory” chain based on content internalisation (CI) and collective identity.Originality/valueThe authors' results highlight the individual-level origins of offline mobilisation in social movements, which are not only grounded in social-psychology, but also develop out of interrelated connective actions supporting social learning. Prior work has mainly conceptualised the value of SM in social movements for online political communication. The authors' conceptualisation is novel in terms of integrating online and offline behaviours with social-psychological perspectives and the application with primary data in a protest movement context that heavily relied on connective actions for offline mobilisation.","PeriodicalId":13533,"journal":{"name":"Inf. Technol. People","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87694767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-05DOI: 10.1108/itp-09-2019-0502
Wei Wu, Qianwen Yang, Xiang Gong, R. Davison
PurposeCrowdsourcing platforms have emerged as an innovative way to generate ideas and solving problems. However, promoting sustained participation among crowdworkers is an ongoing challenge for most crowdsourcing platform providers. Drawing on self-determination theory, this study investigates the impacts of job autonomy on crowdworkers' sustained participation intention.Design/methodology/approachA survey of 212 crowdworkers from a leading crowdsourcing platform in China was conducted to empirically validate the model.FindingsThe empirical results lead to several key findings. First, the taxonomy of job autonomy in crowdsourcing contains three archetypes: work-scheduling autonomy, work-task autonomy, and work-method autonomy. Second, work-scheduling autonomy and work-method autonomy have more significant positive effects on temporal value than work-task autonomy, and this increase in temporal value increases crowdworkers' sustained participation intention. Third, work-task autonomy exerts a stronger influence on hedonic value than work-scheduling autonomy or work-method autonomy, and this increase in hedonic value also increases crowdworkers' sustained participation intention.Originality/valueThis study extends the crowdsourcing literature by examining the formation of crowdworkers' sustained participation and highlighting the role of differential effects of multidimensional job autonomy on crowdworkers' sustained participation. We believe that this study provides actionable insights into measures that promote crowdworkers' sustained participation in the crowdsourcing platform.
{"title":"Understanding sustained participation in crowdsourcing platforms: the role of autonomy, temporal value, and hedonic value","authors":"Wei Wu, Qianwen Yang, Xiang Gong, R. Davison","doi":"10.1108/itp-09-2019-0502","DOIUrl":"https://doi.org/10.1108/itp-09-2019-0502","url":null,"abstract":"PurposeCrowdsourcing platforms have emerged as an innovative way to generate ideas and solving problems. However, promoting sustained participation among crowdworkers is an ongoing challenge for most crowdsourcing platform providers. Drawing on self-determination theory, this study investigates the impacts of job autonomy on crowdworkers' sustained participation intention.Design/methodology/approachA survey of 212 crowdworkers from a leading crowdsourcing platform in China was conducted to empirically validate the model.FindingsThe empirical results lead to several key findings. First, the taxonomy of job autonomy in crowdsourcing contains three archetypes: work-scheduling autonomy, work-task autonomy, and work-method autonomy. Second, work-scheduling autonomy and work-method autonomy have more significant positive effects on temporal value than work-task autonomy, and this increase in temporal value increases crowdworkers' sustained participation intention. Third, work-task autonomy exerts a stronger influence on hedonic value than work-scheduling autonomy or work-method autonomy, and this increase in hedonic value also increases crowdworkers' sustained participation intention.Originality/valueThis study extends the crowdsourcing literature by examining the formation of crowdworkers' sustained participation and highlighting the role of differential effects of multidimensional job autonomy on crowdworkers' sustained participation. We believe that this study provides actionable insights into measures that promote crowdworkers' sustained participation in the crowdsourcing platform.","PeriodicalId":13533,"journal":{"name":"Inf. Technol. People","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76560445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-28DOI: 10.1108/itp-06-2021-0441
Tianyi Ma, Xia Wu, Yang Li
PurposeUnderstanding customer behavior from the perspective of channel integration has become a major stream of research in multi-channel retailing literature. Yet, despite recent advancements in scholarship, how retailers can most effectively sustain customers in online retailing remains unclear. Scholars have suggested online–offline channel integration (OOCI) as an effective multi-channel approach for increasing online loyalty; yet, few studies have explored OOCI's influencing mechanism. This study addresses that gap by investigating how OOCI helps achieve customer loyalty online and further examines the moderating role of retailer credibility in the influencing mechanism of OOCI.Design/methodology/approachThe research model driving this study draws upon the stimulus-organism-response (S-O-R) model and cue consistency theory. The authors collected a sample of 259 customers in China with experience making multi-channel purchases from retailers that have implemented OOCI in online retailing. Structural equation modeling and response surface analyses were employed to conduct data analysis.FindingsThe results revealed that the relationship between OOCI and customers' online channel loyalty was mediated by customers' perceptions of the usefulness and risks of online channel usage. The results also found that congruence and incongruence between informational OOCI (IOOCI) and fulfillment OOCI (FOOCI) had different curvilinear associations with perceived online channel usefulness and perceived online channel risk. In addition, retailer credibility weakened the effects of IOOCI on perceived online channel usefulness and FOOCI on perceived online channel risk but strengthened the effect of IOOCI on perceived online channel risk and had no impact on the effect of FOOCI on perceived online channel risk.Originality/valueTheoretical and practical implications of this study are also discussed.
{"title":"Integrating online and offline channels for online customer loyalty: the moderating role of retailer credibility","authors":"Tianyi Ma, Xia Wu, Yang Li","doi":"10.1108/itp-06-2021-0441","DOIUrl":"https://doi.org/10.1108/itp-06-2021-0441","url":null,"abstract":"PurposeUnderstanding customer behavior from the perspective of channel integration has become a major stream of research in multi-channel retailing literature. Yet, despite recent advancements in scholarship, how retailers can most effectively sustain customers in online retailing remains unclear. Scholars have suggested online–offline channel integration (OOCI) as an effective multi-channel approach for increasing online loyalty; yet, few studies have explored OOCI's influencing mechanism. This study addresses that gap by investigating how OOCI helps achieve customer loyalty online and further examines the moderating role of retailer credibility in the influencing mechanism of OOCI.Design/methodology/approachThe research model driving this study draws upon the stimulus-organism-response (S-O-R) model and cue consistency theory. The authors collected a sample of 259 customers in China with experience making multi-channel purchases from retailers that have implemented OOCI in online retailing. Structural equation modeling and response surface analyses were employed to conduct data analysis.FindingsThe results revealed that the relationship between OOCI and customers' online channel loyalty was mediated by customers' perceptions of the usefulness and risks of online channel usage. The results also found that congruence and incongruence between informational OOCI (IOOCI) and fulfillment OOCI (FOOCI) had different curvilinear associations with perceived online channel usefulness and perceived online channel risk. In addition, retailer credibility weakened the effects of IOOCI on perceived online channel usefulness and FOOCI on perceived online channel risk but strengthened the effect of IOOCI on perceived online channel risk and had no impact on the effect of FOOCI on perceived online channel risk.Originality/valueTheoretical and practical implications of this study are also discussed.","PeriodicalId":13533,"journal":{"name":"Inf. Technol. People","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90741676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Introduction The concept of Big Data has gone through several cycles of awareness, with no small amount of industry hype (Davenport et al., 2012) followed by a growing interest in academia (Abbasi et al., 2016; Batini et al., 2015; Buhl et al., 2013; Goes, 2014; G€ unther et al., 2017; Rai, 2016). The current common understanding of Big Data can be summarized by the following definition that appeared in 2013 in the first issue of Big Data, one of the first journals on the topic: Big Data is data that exceeds the processing capacity of conventional database systems. The data is too big, moves too fast or does not fit the structures of your database architectures. To gain value from this data, youmust choose an alternative way to process it (Dumbill, 2013). The hype (and phenomenon) followed and overlapped with public sector interest in open government data (OGD) (Bertot et al., 2014), symbolically reinforced at a global level by the memoranda and directives signed by Barack Obama in the early years of his first mandate (Chignard, 2013; Obama, 2009). The overlap of interests between the private and public sectors raises the question of the different types of value (economic, public and social value) that Big Data may have and the challenges related to having access to and sharing them, such as data quality and privacy (Batini et al., 2015; Jain et al., 2016; Menon and Sarkar, 2016). This special section aims to provide an outlook on research on these issues, considering specifically the connection, on the one hand, between Big Data, public safety, security and quality of life and, on the other hand, the different paths of business model innovation (cf. Massa and Tucci, 2021) enabled by Big Data, such as social innovation (Misuraca et al., 2018) and crowd-driven innovation (Afuah and Tucci, 2012; Tucci et al., 2018). Inspired by the rise of Big Data platforms and infrastructure that handle both structured and unstructured data from a multitude of domains and data sources (ranging from environmental and weather data to wearables, passenger vehicle sensors, financial and insurance institutions’ data streams and social web data), this special section explores the benefits and advantages—as well as the challenges, limitations and threats (at the data security and privacy level)—that emerge from the Big Data value chain (Curry, 2016; Miller and Mork, 2013), delivering “intelligence” to support operations that surround various aspects of human living. It is worth noting that the special section also considers the social value impact of Big Data-driven innovation in terms of capabilities and functionings enabled by emerging Big Data ecosystems. In particular, we refer to the construct of the “capability approach” (Nussbaum, 2011; Sen, 1992) where the focus is on “human functionings,” which are the various states of human beings and the doings or activities that a person can undertake, and capabilities, i.e. the opportunities to achieve functionings as outc
大数据的概念经历了几个认识周期，伴随着大量的行业炒作(Davenport et al.， 2012)，学术界对大数据的兴趣也越来越大(Abbasi et al.， 2016;Batini et al.， 2015;Buhl et al.， 2013;, 2014;G€unther等人，2017;意大利广播电视公司,2016)。目前对大数据的普遍理解可以用2013年第一期《大数据》(Big Data)杂志对大数据的定义来概括:大数据是超出传统数据库系统处理能力的数据。数据太大，移动太快，或者不适合数据库架构的结构。为了从这些数据中获得价值，你必须选择一种替代方法来处理它(Dumbill, 2013)。这种炒作(和现象)紧随公共部门对开放政府数据(OGD)的兴趣之后并与之重叠(Bertot等人，2014年)，巴拉克•奥巴马(Barack Obama)在其第一个任期的早期签署的备忘录和指令在全球范围内象征性地加强了这一点(Chignard, 2013;奥巴马,2009)。私营和公共部门之间的利益重叠提出了大数据可能具有的不同类型价值(经济，公共和社会价值)的问题，以及与访问和共享它们相关的挑战，例如数据质量和隐私(巴蒂尼等人，2015;Jain et al.， 2016;Menon and Sarkar, 2016)。本专题旨在对这些问题的研究进行展望，具体考虑大数据与公共安全、保障和生活质量之间的联系，以及大数据带来的不同商业模式创新路径(cf. Massa and Tucci, 2021)，如社会创新(Misuraca et al.， 2018)和群体驱动创新(Afuah and Tucci, 2012;Tucci et al.， 2018)。受大数据平台和基础设施兴起的启发，这些平台和基础设施可以处理来自众多领域和数据源的结构化和非结构化数据(从环境和天气数据到可穿戴设备、乘用车传感器、金融和保险机构的数据流和社交网络数据)，本专题探讨了大数据的好处和优势，以及面临的挑战。大数据价值链中出现的限制和威胁(在数据安全和隐私层面)(Curry, 2016;Miller和Mork, 2013)，提供“智能”来支持围绕人类生活的各个方面的操作。值得注意的是，特别部分还考虑了新兴大数据生态系统所带来的能力和功能方面的大数据驱动创新的社会价值影响。我们特别提到了“能力方法”的构建(Nussbaum, 2011;Sen, 1992)，其中重点是“人类功能”，这是人类的各种状态，一个人可以从事的行为或活动，以及能力，即实现功能作为结果的机会。例如，旅行是一种功能，真正有机会有一个安全可靠的旅行是相应的能力。考虑到这些问题，大数据和开放关联数据是实现能力的关键资源，支持这些问题和编辑的决策
{"title":"Editorial: Perspectives on the value of Big Data sharing","authors":"Christopher L. Tucci, G. Viscusi","doi":"10.1108/itp-04-2022-872","DOIUrl":"https://doi.org/10.1108/itp-04-2022-872","url":null,"abstract":"Introduction The concept of Big Data has gone through several cycles of awareness, with no small amount of industry hype (Davenport et al., 2012) followed by a growing interest in academia (Abbasi et al., 2016; Batini et al., 2015; Buhl et al., 2013; Goes, 2014; G€ unther et al., 2017; Rai, 2016). The current common understanding of Big Data can be summarized by the following definition that appeared in 2013 in the first issue of Big Data, one of the first journals on the topic: Big Data is data that exceeds the processing capacity of conventional database systems. The data is too big, moves too fast or does not fit the structures of your database architectures. To gain value from this data, youmust choose an alternative way to process it (Dumbill, 2013). The hype (and phenomenon) followed and overlapped with public sector interest in open government data (OGD) (Bertot et al., 2014), symbolically reinforced at a global level by the memoranda and directives signed by Barack Obama in the early years of his first mandate (Chignard, 2013; Obama, 2009). The overlap of interests between the private and public sectors raises the question of the different types of value (economic, public and social value) that Big Data may have and the challenges related to having access to and sharing them, such as data quality and privacy (Batini et al., 2015; Jain et al., 2016; Menon and Sarkar, 2016). This special section aims to provide an outlook on research on these issues, considering specifically the connection, on the one hand, between Big Data, public safety, security and quality of life and, on the other hand, the different paths of business model innovation (cf. Massa and Tucci, 2021) enabled by Big Data, such as social innovation (Misuraca et al., 2018) and crowd-driven innovation (Afuah and Tucci, 2012; Tucci et al., 2018). Inspired by the rise of Big Data platforms and infrastructure that handle both structured and unstructured data from a multitude of domains and data sources (ranging from environmental and weather data to wearables, passenger vehicle sensors, financial and insurance institutions’ data streams and social web data), this special section explores the benefits and advantages—as well as the challenges, limitations and threats (at the data security and privacy level)—that emerge from the Big Data value chain (Curry, 2016; Miller and Mork, 2013), delivering “intelligence” to support operations that surround various aspects of human living. It is worth noting that the special section also considers the social value impact of Big Data-driven innovation in terms of capabilities and functionings enabled by emerging Big Data ecosystems. In particular, we refer to the construct of the “capability approach” (Nussbaum, 2011; Sen, 1992) where the focus is on “human functionings,” which are the various states of human beings and the doings or activities that a person can undertake, and capabilities, i.e. the opportunities to achieve functionings as outc","PeriodicalId":13533,"journal":{"name":"Inf. Technol. People","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88284896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-25DOI: 10.1108/itp-08-2021-0593
Melina Seedoyal Doargajudhur, Z. Hosanoo
PurposeAs employees’ adoption of Bring Your Own Device (BYOD) has increased, so has research interest into the impact of BYOD on human resources outcomes. The present study aims at understanding the relationship between BYOD and human resources outcomes.Design/methodology/approachThe study employs the inductive data-driven content analysis approach to analyze the data collected through qualitative semi-structured interviews with a sample of 28 knowledge workers from different occupational sectors in Mauritius.FindingsThe results show the double-edged sword brought about by BYOD implementation. This trend is associated with perceived job performance, job satisfaction, organizational commitment and work motivation while also having an effect on work-life conflict and stress.Practical implicationsThis study has implications for organizations that are concerned about formulating guidelines and policies in relation to workers' adoption of BYOD in the workplace. This trend permits employees to continue to communicate and work irrespective of new working conditions and social distancing since the Covid-19 pandemic has changed the way organizations operate around the globe.Originality/valueDriven by the JD-R theory, themes and sub-themes were linked by the emerging relationships to present a conceptual framework to understanding employees' well-being since this is a pertinent research area for scholars and practitioners, as well as a topic of growing prominence for modern organizations.
目的:随着员工自带设备(Bring Your Own Device, BYOD)的使用越来越多，对BYOD对人力资源成果影响的研究也越来越有兴趣。本研究旨在了解自带设备与人力资源成果之间的关系。设计/方法/方法本研究采用归纳数据驱动的内容分析方法，对来自毛里求斯不同职业部门的28名知识工作者进行定性半结构化访谈，收集到的数据进行分析。结果表明，BYOD的实施带来了一把双刃剑。这一趋势与感知工作绩效、工作满意度、组织承诺和工作动机有关，同时也对工作与生活的冲突和压力产生影响。实际意义本研究对那些关心制定员工在工作场所采用自带设备的指导方针和政策的组织具有启示意义。这一趋势使员工能够继续沟通和工作，而不受新的工作条件和社交距离的影响，因为Covid-19大流行改变了全球组织的运作方式。原创性/价值在JD-R理论的推动下，主题和子主题通过新兴的关系联系起来，提出了一个理解员工幸福感的概念框架，因为这是学者和从业者的相关研究领域，也是现代组织日益突出的主题。
{"title":"The mobile technological era: insights into the consequences of constant connectivity of personal devices by knowledge workers","authors":"Melina Seedoyal Doargajudhur, Z. Hosanoo","doi":"10.1108/itp-08-2021-0593","DOIUrl":"https://doi.org/10.1108/itp-08-2021-0593","url":null,"abstract":"PurposeAs employees’ adoption of Bring Your Own Device (BYOD) has increased, so has research interest into the impact of BYOD on human resources outcomes. The present study aims at understanding the relationship between BYOD and human resources outcomes.Design/methodology/approachThe study employs the inductive data-driven content analysis approach to analyze the data collected through qualitative semi-structured interviews with a sample of 28 knowledge workers from different occupational sectors in Mauritius.FindingsThe results show the double-edged sword brought about by BYOD implementation. This trend is associated with perceived job performance, job satisfaction, organizational commitment and work motivation while also having an effect on work-life conflict and stress.Practical implicationsThis study has implications for organizations that are concerned about formulating guidelines and policies in relation to workers' adoption of BYOD in the workplace. This trend permits employees to continue to communicate and work irrespective of new working conditions and social distancing since the Covid-19 pandemic has changed the way organizations operate around the globe.Originality/valueDriven by the JD-R theory, themes and sub-themes were linked by the emerging relationships to present a conceptual framework to understanding employees' well-being since this is a pertinent research area for scholars and practitioners, as well as a topic of growing prominence for modern organizations.","PeriodicalId":13533,"journal":{"name":"Inf. Technol. People","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79332248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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