Journal of Systems and Information Technology

Pan, Cheng; Lei, Yu; Wu, Jiang; Wang, Yuee

2021 Journal of Systems and Information Technology

doi: 10.1108/jsit-11-2019-0242

The purpose of this study is to develop a theoretical framework to explore the influence of green packaging on green purchase intention in the context of online-to-offline (O2O) commerce and to discuss the indirect effects of perceived value, perceived risk and green satisfaction.Design/methodology/approachTo cast light on the factors affecting consumers’ intention to purchase in the context of O2O commerce, 295 valid questionnaire responses of O2O consumers in China were collected via an online survey. Data analysis was performed based on structural equation modeling.FindingsThe empirical results indicated that green packaging significantly affects consumers’ green purchase intention in the O2O commerce context indirectly through perceived value, perceived risk and green satisfaction. Moreover, green loyalty positively and significantly moderates the effects of perceived value, perceived risk and green satisfaction on green purchase intention.Originality/valueResearch on product packaging has mainly focused on investigating packaging materials, designs, functions and applications but has rarely examined how product packaging affects consumers’ purchase intention in the context of O2O commerce. Moreover, although previous studies have explored the roles of perceived value and perceived risk on purchase intention, they have not investigated the effects of environmental concerns and commerce context. This study attempts to fill these research gaps.

Lee, One-Ki Daniel; Ayyagari, Ramakrishna; Nasirian, Farzaneh; Ahmadian, Mohsen

2021 Journal of Systems and Information Technology

doi: 10.1108/jsit-07-2020-0132

The rapid growth of artificial intelligence (AI)-based voice-assistant systems (VASs) has created many opportunities for individuals to use VASs for various purposes in their daily lives. However, traditional quality success factors, such as information quality and system quality, may not be sufficient in explaining the adoption and use of AI-based VASs. This study aims to propose interaction quality as an additional, yet more important quality measure that leads to trust in an AI-based VAS and its adoption.Design/methodology/approachThe authors propose a research model that highlights the importance of interaction quality and trust as underlying mechanisms in the adoption of AI-based VASs. Based on survey methodology and data from 221 respondents, the proposed research model is tested with a partial least squares approach.FindingsThe results suggest that interaction quality and trust are critical factors influencing the adoption of AI-based VASs. The findings also indicate that the impacts of traditional quality factors (i.e. information quality and system quality) occur through interaction quality in the context of AI-based VASs.Originality/valueThis research adds interaction quality as a new quality factor to the traditional quality factors in the information systems success model. Further, given the interactive nature of VASs, the authors use social response theory to explain the importance of the trust mechanism when individuals interact with AI-based VASs.Contribution to Impact

Kaba, Bangaly

2021 Journal of Systems and Information Technology

doi: 10.1108/jsit-08-2020-0158

This paper aims to better comprehend the psychological elements that drive the adoption of social networking sites (SNS). The paper attempts to explain the reasons why people sustainably use social networking websites in the workplace and how this happens.Design/methodology/approachUsing a survey to collect data that was analyzed using structural equation modeling by applying the partial least squares technique.FindingsThe results indicated that SNS use continuance was due more to habit rather than established perceived and normative beliefs such as satisfaction and social norms.Research limitations/implicationsThe authors recommend that the model in the study be tested in other technology environments to evaluate the external validity of the research study. The research was based on an unspecific platform, but each SNS may have its singularity that should merit further consideration.Practical implicationsPeers or coworker influences were noticeable in shaping one’s normative beliefs to continue using SNS in the organization. In this regard, it will be interesting to identify the mechanisms that raise the awareness of SNS in the employees’ social networks in the organization. Specifically, it will be an advantage to reach out to peers in promoting SNS use in the organization because they speak the same language as their fellow employees.Originality/valueDespite several benefits related to SNS use in organizations, studies showed that most of these technologies are boycotted in the workplace. Although extensive studies are dedicated to understanding information and communication technology use continuance in general, this paper aims to inform both academicians interested in the use of enterprise SNS for business purposes and business actors concerned with growing SNS usage and retaining its users in their organizations. The paper will contribute to information systems continuance literature by integrating and extending two major theoretical frameworks.

Shankaranarayanan, G.; Zhu, Bin

2021 Journal of Systems and Information Technology

doi: 10.1108/jsit-08-2020-0153

Data quality metadata (DQM) is a set of quality measurements associated with the data. Prior research in data quality has shown that DQM improves decision performance. The same research has also shown that DQM overloads the cognitive capacity of decision-makers. Visualization is a proven technique to reduce cognitive overload in decision-making. This paper aims to describe a prototype decision support system with a visual interface and examine its efficacy in reducing cognitive overload in the context of decision-making with DQM.Design/methodology/approachThe authors describe the salient features of the prototype and following the design science paradigm, this paper evaluates its usefulness using an experimental setting.FindingsThe authors find that the interface not only reduced perceived mental demand but also improved decision performance despite added task complexity due to the presence of DQM.Research limitations/implicationsA drawback of this study is the sample size. With a sample size of 51, the power of the model to draw conclusions is weakened.Practical implicationsIn today’s decision environments, decision-makers deal with extraordinary volumes of data the quality of which is unknown or not determinable with any certainty. The interface and its evaluation offer insights into the design of decision support systems that reduce the complexity of the data and facilitate the integration of DQM into the decision tasks.Originality/valueTo the best of my knowledge, this is the only research to build and evaluate a decision-support prototype for structured decision-making with DQM.

Tata, Sai Vijay; Prashar, Sanjeev; Parsad, Chandan

2021 Journal of Systems and Information Technology

doi: 10.1108/jsit-05-2020-0071

The growth in online shopping activities has made online reviews a useful information source for customers. At the same time, the number of shoppers sharing their experiences through reviews has also increased. Not enough research has been undertaken in the past to examine a comprehensive set of factors that influence review posting behaviour. Further, the influence of personality traits on such behaviour is mostly unexplored. The study aims to examine the impact of the system’s usefulness and ease of use, along with shoppers’ motivation for writing reviews, namely, rewards and associated costs.Design/methodology/approachUsing the 3 M model of personality traits, this paper examined the impact of these personality traits on customers’ intent towards writing online reviews. A detailed review of the literature was undertaken to ascertain the pertinent factors, and the corresponding validated scales were obtained. The primary data was collected using an offline survey method, and 275 valid responses were recorded. The hypotheses were investigated through structural equation modelling on analysis of a moment structures 22.0.FindingsThe study observed the significant effects of both ease of use and usefulness, on shoppers’ attitude. This favourable attitude was further found to have a positive effect on shoppers’ intention to write reviews. Of the eight personality traits as predictors of shoppers’ intention to provide reviews, three (neuroticism, agreeableness and openness) were observed to be significant predictors. It was noted that intrinsic rewards influenced shoppers’ intention. Conversely, extrinsic rewards were found to be insignificant in influencing shoppers’ intention. Costs had a significant negative impact on the intention to write reviews.Practical implicationsThe study presents theoretical and managerial implications. This paper suggests that for writing online reviews, the customers must perceive the review system to be simple, convenient and easy to use. It is pertinent for them to comprehend the usefulness of such reviews. Electronic retailers must highlight how the reviews are read and considered in making buying decisions. They must develop a system that enables the review writers to know the number of shoppers who have purchased the product after reading a particular review. E-retailers must strategize to highlight the intrinsic rewards available for shoppers to motivate them.Originality/valueThe present study examines the factors that motivate and influence shoppers to write online reviews. Using the conceptual framework of technology acceptance model, the self-determination theory and the 3 M framework of personality traits, the study investigates the factors that motivate shoppers to write reviews. The most significant aspect of the present study is the inclusion of eight personality traits for deciphering the relationship between personality traits and the intention to write reviews.