Journal of Systems and Information Technology

Säynätmäki, Olli; Zhang, Yixin

2020 Journal of Systems and Information Technology

doi: 10.1108/jsit-08-2019-0163

This study aims to understand elderly people and their family members’ perceptions and usage of a mobile personal safety service.Design/methodology/approachThe study adopts both interviews and analysis of actual usage data to cross-validate the findings. Four family groups and 11 subjects participated in the study.FindingsElderly people are willing to learn to use the mobile safety service, and some elderly people explore more features than their younger family members. Family support facilitates their learning. Elderly people feel psychologically secure when using the mobile safety service. Privacy concerns are mitigated because they consider location sharing is necessary for the service.Research limitations/implicationsThe current sample is small, as it involves collection of both interview data and actual usage data. Considering the emergency of the mobile personal safety service, the study is exploratory.Practical implicationsThe findings suggest that elderly people are willing to learn and use technology such as the mobile safety service, which is relevant to their daily lives. Designers may think about how to highlight the relevancy aspect of technologies in elderly peoples’ lives.Originality/valueThis study is one of the earliest studies about elderly people’s usage of mobile safety service. This study reveals that elderly people are willing to learn to use the mobile safety service and explore its features. Technical support from family members and relevancy of the service in their daily lives may encourage them to use the technology.

Chatterjee, Sheshadri

2020 Journal of Systems and Information Technology

doi: 10.1108/jsit-05-2019-0089

The purpose of this study is to identify the factors responsible for phubbing (PHU) from technological and psychological aspects.Design/methodology/approachFrom the literature review, some hypotheses have been formulated and a conceptual model has been developed. The model has been validated and the hypotheses have been tested by a statistical approach using a survey with involvement of 302 useable responses. The responses have been quantified and thereafter detailed statistical analysis has been adopted to verify the conceptual model and the hypotheses.FindingsSmartphone addiction (SPA) is the principle component that is responsible for PHU, which is also the goal of the study.Research limitations/implicationsThe study highlights that unless SPA behavior of individuals is reduced; it is not possible to control PHU behavior. For restricting SPA, self-control of the users of smartphone is necessary. Besides, imposition of appropriate rules and regulations can check the menace of SPA that in turn would control PHU.Practical implicationsPractitioners are to arrange to reduce SPA of people. The users are to be made known regarding the dark sides of SPA responsible for PHU. Besides, practitioners should conduct awareness programs to keep the users apprised regarding menace of SPA and PHU. Practitioners should arrange to execute consistently regulatory restrictions to control SPA. This would also be able to control individuals to exhibit PHU behavior.Social implicationsPHU inhibits quality of interpersonal communication. It lowers the esteem and exhibits negative relationship satisfaction among the interacting parties. PHU creates ostracism. Identification of factors responsible for PHU would help to provide a solution to check PHU.Originality/valueNot much research on this issue is known to have taken place. In this regard, this attempt should be deemed to be a novel attempt.

Khanam, Suby; Talib, Faisal; Siddiqui, Jamshed

2020 Journal of Systems and Information Technology

doi: 10.1108/jsit-01-2017-0004

The purpose of this study is to identify and rank total quality management (TQM) enablers and information technology (IT) resources to provide a reliable and valid measurement instrument for evaluation in Indian information and communications technology (ICT) organizations.Design/methodology/approachBased on a literature review of TQM enablers and IT resources, 17 factors are identified, of which, 9 are TQM enablers and 8 are IT resources. The empirical data, retrieved from 801 ICT organizations, is tested by descriptive analysis and factor analysis (FA). FA is used to ensure that items in each scale sufficiently reflect the scope of each factor.FindingsThis paper has developed an instrument that can be used to evaluate items to implement TQM enablers and IT resources. The instrument identifies 17 reliable and valid factors, out of which 16 are input factors, while 1 is an outcome factor.Practical implicationsThis instrument will provide a practical understanding to enable the monitoring of TQM enabler and IT resource activities in ICT organizations. Along with this, these instruments will help to build models related to constructs that will further achievement of customer satisfaction (CS).Originality/valueThis paper presents an instrument which validates the different items of TQM enablers and IT resources. It also shows the relationship between the two in terms of CS.

Spiliotopoulos, Tasos; Oakley, Ian

2020 Journal of Systems and Information Technology

doi: 10.1108/jsit-12-2019-0258

The purpose of this paper is to elaborate on how people navigate the social media ecosystem and how they decide, which social network site (SNS) to use. To this end, the current study draws from uses and gratifications (U&G) theory to elicit and compare motives for the use of Facebook and Twitter and uses behavioral data to examine the findings in the context of technology non-use.Design/methodology/approachAn online survey was administered to 232 Facebook users and the results were complemented with 12 usage variables collected via the Facebook application programing interface for the same users. Exploratory factor analysis identified and described the motives for using Facebook and Twitter and multiple regression models examined the relationships between the motives for using the two sites. A multivariate analysis of variance and a series of t-tests investigated the differences in actual behavior between Twitter users and non-users.FindingsResults suggest that SNS users will use both sites to gratify their need for information, but will only do so for entertainment that has social characteristics. Furthermore, Facebook users that are more embedded in the site and use the site to support their offline life are more likely to also use Twitter.Practical implicationsThe paper includes implications for SNS researchers, designers and managers by highlighting the motivational and behavioral differences between users of the two sites and the importance of technological affordances for understanding and explaining SNS selection.Originality/valueThis study extends previous cross-site U&G and non-use research by combining survey and behavioral data.