An Exploratory Study for Perceived Advertising Value in the Relationship Between Irritation and Advertising Avoidance on the Mobile Social Platforms

This study delves deeply into advertising avoidance research and redefines the uses and gratifications theory (U&G) as divided into (a) convenience U&G, (b) content U&G, and (c) social U&G to conduct an approach to alleviate the degree of advertising avoidance on the mobile social platforms. To carefully study the forming framework of advertising avoidance, we extract the factor irritation considered to directly impact on avoidant intention induced by perceived intrusiveness and privacy concerns. As an important previous factor in advertising research, we also test the moderating effect of perceived advertising value between irritation and advertising avoidance. Findings show that ubiquity takes a negative role on mobile social platforms and tailoring also takes different roles on perceived intrusiveness and privacy concerns; unfortunately, content U&G consist of advertising informativeness and entertainment didn’t find any significant effect; in contrast with previous study, social U&G as social interaction and social integration also show some different roles but is ambiguous. However, the positive relationship of perceived intrusiveness, privacy concerns, irritation, and advertising avoidance has been confirmed again although with a pity of insignificant moderating effect of advertising value. Management issues, theoretical contributions, limitations and future study are discussed as follow

Contextual impacts on industrial processes brought by the digital transformation of manufacturing: a systematic review

The digital transformation of manufacturing (a phenomenon also known as "Industry 4.0" or "Smart Manufacturing") is finding a growing interest both at practitioner and academic levels, but is still in its infancy and needs deeper investigation. Even though current and potential advantages of digital manufacturing are remarkable, in terms of improved efficiency, sustainability, customization, and flexibility, only a limited number of companies has already developed ad hoc strategies necessary to achieve a superior performance. Through a systematic review, this study aims at assessing the current state of the art of the academic literature regarding the paradigm shift occurring in the manufacturing settings, in order to provide definitions as well as point out recurring patterns and gaps to be addressed by future research. For the literature search, the most representative keywords, strict criteria, and classification schemes based on authoritative reference studies were used. The final sample of 156 primary publications was analyzed through a systematic coding process to identify theoretical and methodological approaches, together with other significant elements. This analysis allowed a mapping of the literature based on clusters of critical themes to synthesize the developments of different research streams and provide the most representative picture of its current state. Research areas, insights, and gaps resulting from this analysis contributed to create a schematic research agenda, which clearly indicates the space for future evolutions of the state of knowledge in this field

Information Technology's Role in Global Healthcare Systems

Over the past few decades, modern information technology has made a significant impact on people’s daily lives worldwide. In the field of health care and prevention, there has been a progressing penetration of assistive health services such as personal health records, supporting apps for chronic diseases, or preventive cardiological monitoring. In 2020, the range of personal health services appeared to be almost unmanageable, accompanied by a multitude of different data formats and technical interfaces. The exchange of health-related data between different healthcare providers or platforms may therefore be difficult or even impossible. In addition, health professionals are increasingly confronted with medical data that were not acquired by themselves, but by an algorithmic “black box”. Even further, externally recorded data tend to be incompatible with the data models of classical healthcare information systems.From the individual’s perspective, digital services allow for the monitoring of their own health status. However, such services can also overwhelm their users, especially elderly people, with too many features or barely comprehensible information. It therefore seems highly relevant to examine whether such “always at hand” services exceed the digital literacy levels of average citizens.In this context, this reprint presents innovative, health-related applications or services emphasizing the role of user-centered information technology, with a special focus on one of the aforementioned aspects

Smartphones

Many of the research approaches to smartphones actually regard them as more or less transparent points of access to other kinds of communication experiences. That is, rather than considering the smartphone as something in itself, the researchers look at how individuals use the smartphone for their communicative purposes, whether these be talking, surfing the web, using on-line data access for off-site data sources, downloading or uploading materials, or any kind of interaction with social media. They focus not so much on the smartphone itself but on the activities that people engage in with their smartphones

Female bike riders’ clothing needs with the incorporation of wearable technology: Design and evaluation of wearers’ perception of smart clothing within the cradle-to-cradle design framework

The overall purpose of this study was to increase a general understanding of the mechanisms that determine how female bike riders’ clothing needs are met through the use of smart clothing, by empirically testing new smart clothing designs that incorporate wearable devices developed by the researcher within the cradle-to-cradle design framework. The specific objectives of this study were: (1) to identify important design criteria of bike wear for female bike riders under the frame of consumers’ functional-expressive-aesthetic needs along with their needs and desires for wearable technology; (2) to design and develop smart clothing for female bike riders in accordance with identified female bike riders’ expectations and needs within the cradle-to-cradle design framework; (3) to evaluate female bike riders’ perceived needs satisfaction and social acceptability of the proposed smart clothing by examining the relationships among perceived satisfaction of functional, expressive and aesthetic needs, and perceived social acceptability; and (4) to evaluate the marketability of proposed smart clothing by testing the hypothetical research model incorporating the following variables: perceived satisfaction of functional, expressive and aesthetic needs, perceived social acceptability, attitude, and purchase intention. The findings of this study were based on data collected from two different online surveys (Study 1 and Study 2) as well as a proposed smart bike jacket that included transformable functions developed by this researcher and used for Study 2 survey. For this study, females in large cities worldwide were considered a key segment of the population for studying female bike riders’ clothing needs incorporating wearable technologies. Using a purposeful and convenience sampling approach, the Study 1 sample was recruited from females aged 18 years and over living in the U.S. with bike riding experience, and were members of the “Transportation Alternative,” a non-profit organization dedicated to bike riders in New York City; 136 usable responses were obtained and used for the data analysis. The Study 2 used a nation-wide convenience sampling approach that involved females aged 18 years and over living in the U.S. with bike riding experiences; 488 usable responses were obtained from the Amazon Mechanical Turk and used for the data analysis. The instrumentation for the study incorporated two main online questionnaires, including both close-ended and open-ended questions, and proposed smart bike wear developed by the researcher. Based on female bike riders’ identified bike wear needs from Study 1 survey, the researcher incorporated appropriate design components into smart clothing design incorporating a wearable device for addressing survey participants’ special needs. The developed smart bike wear in this stage was used for Study 2 survey. Two self-administered questionnaires for the Study 1 and Study 2 were developed using multiple-item measurements that were validated and determined as reliable from previous studies and open-ended questions. In Study 2 survey, the participants were expected to respond to each question after watching a short video clip demonstrating the features of the proposed smart clothing, as a tool of stimuli to measure perception of respondents toward the proposed smart clothing. The Statistical Package for the Social Sciences (SPSS Version 21.0) software and AMOS Version 21.0 were employed to conduct statistical analyses and model testing. Demographic data were analyzed using descriptive statistics for both the 136 respondents for the Study 1 and the 488 respondents for the Study 2. An initial series of confirmatory factor analysis (CFA) was used to test validity and reliability of constructs in the measurement model for both the Study 1 and Study 2. In the Study 2, the structural equation model for theoretical predictors of purchase intention was tested. To analyze the data collected from open-ended questions, the researcher used a word clouds analysis, a popular content analysis method for text-based data. The findings were: 1. The Study 1 identified 25 valid functional-expressive-aesthetic-price (FEAP) needs measurement items that were applicable for consideration when designing smart clothing from the perspective of female bike riders. Functional design characteristics, especially those contributing to comfort, protection, and ventilation, were the most important needs of respondents. Expressive and aesthetic design characteristics were also shown to be important needs to be considered when designing female bike riders’ clothing, but less important than functional needs. 2. Smart clothing that embedded multiple transformable features was favored by most respondents, and a jacket that could be changed into a bag was the most commonly desired transformable smart clothing feature. The findings from Study 1 survey guided this researcher to design a smart jacket transformable into a bag capable of storing detachable pieces, with essential design characteristics that incorporated identified consumers’ bike wear design needs. The processes of product design and development were guided by the frame of the cradle-to-cradle (C2C) design process which fully considered sustainability practices. A female bike riders’ transformable jacket incorporating a LED signal lighting device was developed in response to participants’ needs and desires that were identified in the Study 1. 3. The Study 2 identified 41 valid functional-expressive-aesthetics (FEA), social acceptability, attitude, and purchase intention related measurement items to examine respondents’ perceived satisfaction level for the proposed smart jacket. The proposed smart bike wear fulfilled the functional needs across all elements for smart bike wear. Especially, the results proved that ventilation features (e.g., mesh trimmed around armpits, detachable sleeves), as well as enhanced visibility (e.g., incorporated reflective trimming and a LED lighting device) of the proposed smart clothing satisfied consumers’ special smart clothing needs when bike riding. The proposed smart jacket also fulfilled the aesthetic and expressive needs of the respondents. Regarding social acceptance of the proposed smart clothing, most of the respondents said that what was presented in smart clothing was socially acceptable. A few responses suggested there were privacy concerns about wearable devices that use smart phone applications to collect data. 4. The hypothesized model consisted of six latent variables (functional design characteristics, expressive design characteristics, aesthetic design characteristics, social acceptability, attitudes, and purchase intention). The results of structural equation modeling (SEM) for the hypothesized model revealed a good model fit. All five structural paths in the model were statistically significant. As expected from hypothesis (H) 1, perceived satisfaction of functional design characteristics significantly and positively affected attitude; for H2, perceived satisfaction of expressive design characteristics significantly and positively affected attitude; for H3, perceived satisfaction of aesthetic design characteristics significantly and positively affected attitude; for H4, perceived social acceptability significantly and positively affected attitude; and for H5, attitude toward purchasing smart clothing significantly and positively affected purchasing intention. The statistical testing results confirm that the level of perceived satisfaction of functional, expressive, and aesthetic design characteristics as well as perceived social acceptability influences the creation of positive attitudes toward the use of smart clothing, leading to positive purchase intentions for smart clothing. This research significantly contributes to the literature by providing insight into the inadequately researched area of smart clothing for female bike riders. It is the first study conducted that investigated female bike riders’ special needs and social acceptability of smart clothing under the C2C design framework. Its holistic approach to the analysis of data collected through various research stages (needs identification-smart clothing design-design evaluation) uncovered previously unidentified issues surrounding female bike riders’ smart clothing needs, revealing numerous areas where future research is needed, and providing vital information for both the apparel industry and academia. Limitations of this study were presented, and implications and recommendations for future studies and for practice were also suggested

User acceptance and adoption of smart homes: A decade long systematic literature review

This survey aims to provide a coherent and bibliometric overview of the theories and constructs employed in smart homes acceptance and adoption literature. To achieve the study aims, we con-ducted a systematic search for every article related to the SH concept, services and applications, user acceptance and adoption, and integrated IoT home appliances and devices, in 10 major library databases, namely, IEEE Digital Library, ACM Digital Library, Association for Information Systems (AIS), Elsevier, Emerald, Taylor and Francis, Wiley InterScience, Springer, Inderscience, and Hindawi. These databases contain literature focusing on smart home adoption using IoT tech-nology. 40 research articles of journal and peer-reviewed conferences were found relating to our research objective, presented and distributed chronologically, by publisher, country, theory and model, key construct, and with full bibliometrics for each article. Additionally, this survey includes a word cloud and a taxonomy of the entire factors used to understand users’ acceptance and adoption of smart homes in different contexts and applications. This study has many ad-vantages in covering the current research gap in the literature and also the researchers identify theoretical and practical research implications, research limitations, and recommendations for improving the acceptance and usage of smart homes literature

Doing what works: a grounded theory case study of technology use by teachers of English at a Korean university

Despite considerable effort and expenditure by the Korean government and universities to promote technology use in tertiary education, few teachers of English in Korea regularly and consistently employ technology in their teaching. Moreover, research into the hindrances and enablers of technology use in English education in Korea has been limited for primary and secondary schools and conspicuously absent on the tertiary level. This case study examines what teachers in a general English department at a private university in Seoul undergo as they consider the use of technology both in and out of classrooms. It attempts to provide a holistic look into teacher decision-making in this context. It employs a grounded theory of investigation underpinned by a close reading of the diffusion of innovations theory by Rogers (2003). Data for the study involves three main techniques: semi-structured interviews, a survey questionnaire, and classroom observations. Analysis follows an iterative, grounded method and includes use of both qualitative and quantitative software programs (Atlas.ti 5.0 and SPSS 16.0 respectively). Results from the study form a substantive theory entitled 'what works' which helps explain the myriad of decisions that teachers make while trying to manage personal (internal) and administrative (external) goals and aims. Further, all decisions within this system are underpinned by 'what works' for teachers in any situation both in terms of reliability and consistency. Implications suggest that the use of technology in the classroom exacerbates preexisting pedagogical and infrastructure issues, leading to inconsistencies in representation and application, as well as an overall limitation of potential use by teachers

Essays on enterprise social media: moderation, shop floor integration and information system induced organizational change

The digital transformation increases the pressure on innovation capabilities and challenges organizations to adapt their business models. In order to cope with the increased competitiveness, organizations face two significant internal challenges: Enabling internal digital collaboration and knowledge sharing as well as information system-induced change. This dissertation will investigate seven related research questions divided in two main parts. The first part focuses on how an organization can foster digital knowledge exchanges and collaboration in global organizations. Enterprise social media has attracted the attention of organizations as a technology for social collaboration and knowledge sharing. The dissertation will investigate how organizations can moderate the employee discourse in such platforms from a novel organizational perspective and provide insights on how to increase the encouragement for employees to contribute and assure content quality. The developed framework will provide detailed moderation approaches. In addition, the risk of privacy concerns associated with organizational interference in the new digital collaboration technologies are evaluated. The second part of the dissertation shifts the focus to the shop floor environment, an area that has faced substantial digital advancements. Those advancements change the organizational role of the shop floor to a more knowledge work-oriented environment. Firstly, a state of research regarding technology acceptance and professional diversity is presented to create an enterprise social media job-characteristic framework. Further, a unique and longitudinal shop floor case study is investigated to derive organizational challenges for enterprise social media and potentials for empowerment. To validate the future shop floor environment needs use cases for the shop floor are derived and a user profile is established. The case study is extended by expert interviews to focus on conceptualizing organizational information systems-induced change. In this regard, the role of work practices, organizational and employee mindset and information system change are integrated into a holistic organizational change model that targets employee empowerment. This dissertation provides a comprehensive overview of enterprise social media from an organizational management and shop floor perspective. It contributes to understanding new digital needs at the shop floor and the information systems-induced change journey towards digital employee empowerment