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Sales organizations embrace technological innovation. However, salespeople’s willingness to use new technology influences a firm’s return on investment, representing a significant concern for the organization. These concerns highlight tensions regarding the tradeoffs associated with technology implementations. The purpose of this study is to offer insights that help reduce the complexities of sales technology (ST) by exploring the changing dynamics of contemporary business relationships.

This paper synthesizes the ST literature using the service ecosystem perspective to propose the sales techno-ecosystem (STE) framework, providing new insights into organizational decision-making related to the ongoing digital transformation of sales tasks.

This synthesis of the ST literature with the service ecosystem seeks to clarify the impact of technology within the evolving nature of buyer–seller relationships by providing four unique perspectives.

Perspective 1 reviews the sales-service ecosystem framework and develops the theoretical underpinnings and relevant terminologies. Perspective 2 summarizes critical aspects of the ST literature and provides foundations for future research in the STE. Perspective 3 offers a more granular view, explicating roles and contexts prevalent in buyer–seller–technology interactions. Perspective 4 provides a set of tenets and advances research questions related to each tenet.

The culmination of these four perspectives is the introduction of five key tenants designed to help guide strategy and research.

The paper advances Hartmann et al. (2018) service ecosystem paradigm by explicating critical aspects of its ST domain to generate insights for theory and practice.

Using the technology acceptance model (TAM), this study investigates factors influencing the adoption of cryptocurrency in Bangladesh.

Data were collected from 346 members of the general public through a structured web survey using snowball sampling. Structural equation modeling was used to analyze the data and assess the reliability and validity of the measurement model.

The results show that knowledge of cryptocurrency, benefits of use (perceived usefulness), attitude and challenges all have a significant impact on the adoption of cryptocurrency.

This study was conducted in a single country, relied on self-reported data and used a cross-sectional design, which limits the ability to draw causal inferences. Future research could explore the factors that influence the adoption of cryptocurrency in different countries and regions and incorporate additional variables to provide a more comprehensive understanding of the drivers of intention to use cryptocurrency.

This study contributes to understanding the factors driving the adoption of and intention to use technology-based services, providing insights that can inform the design and implementation of future technology-based services.

This paper aims to identify the relevant contributing constructs of readiness for the implementation of intelligent contracts (iContracts) in the construction industry. This study investigates the relationship between the personality dimensions of technology readiness index (TRI) and the system specific factors of technology acceptance model (TAM) within the context of iContracts.

Drawing insights from the extant literature and the author's previous qualitative investigations into iContract readiness constructs, a quantitative approach is used to operationalise the constructs by offering relevant statements to be measured and validated through a multiple-item scale against the users intent to accept the future iContract technology.

This study confirms and validates the relationship of the proposed iContract readiness index (iCRI) statements against the established TAM factors by offering 18 new constructs influencing technology readiness of the iContract technology. This study proves 9 of the 12 hypotheses highlighting key factors to be addressed for the successful development of the iContract technology.

This paper contributes to the body of knowledge by proposing a novel iCRI that informs an iContract technology readiness acceptance model (iCTRAM) for a trending technology. The iCTRAM can guide developers in producing an appropriate iContract solution and assess the readiness of users and organisations for the successful adoption of the iContract concept.

This study offers a unique theoretical framework, in an embryonic field, for predicting the success of iContract implementation within construction organisations. This study combines the established studies of TRI and TAM in producing a predictive iContract readiness assessment tool.

The proliferation of information technology (IT) and IT-enabled devices has brought various challenges for modern organizations. These challenges are aggravated by the fact that the employees of different generations have a varying degree of expertise and ethical orientation regarding technology. This study has two primary objectives to have an in-depth understanding of technology-related ethical behavior of a diverse workforce. First, it aims to develop a valid and reliable scale to measure technology-oriented ethical behavior. Second, it investigates variations in technology-oriented ethical behavior among Generation X (pre-millennial), Generation Y (millennial) and Generation Z (post-millennial) using the scale.

The study is conducted in two steps. The first step, a techno-ethical scale, is developed with the help of the six steps of scale development proposed by Churchill (1979). These steps include exploratory factor analysis (EFA), confirmatory factor analysis (CFA), reliability analysis (composite reliability) and validity analysis (convergent and divergent validity). In the second step, intergenerational variation in different factors of technology-oriented ethical behavior among generation X, Y and Z employees is explored with the help of ANOVA and mean plots.

The study suggests a four-dimensional techno-ethical scale comprising fourteen statements. These four dimensions of the scale are the invasion of the right of privacy, defamation, self-enrichment and loafing during office hours. The scale is reported to have adequate reliability and validity estimates. Results also recommend statistically significant variations in all four dimensions of technology-oriented ethical behavior among pre-millennial, millennial and post-millennial. Also, except for self-enrichment, the mean values progressively increase from pre-millennial to post-millennial. Even for self-enrichment, the mean value is highest for post-millennial.

This study is one of the pioneer studies that explore ethical orientation towards technology usage of three generations of employees.

Research on battery electric vehicles (BEVs) has typically considered environmental concern a key determinant of behavioral intention that leads individuals to prefer electric vehicles. This paper challenges this assumption and argues that technology frameworks may require new variables to capture consumers' preferences. A UTAUT2-based study has been developed to assess the role of environmental concern in the BEVs context and put forward the technology show-off (TS) concept to explain the technology's acceptance.

A quantitative and cross-sectional look at behavioral intention is adopted. The study uses structural equation modeling to analyze a sample of 236 Macau residents to determine the relevance of the factors behind the choice to adopt BEVs.

The findings indicate that environmental concern and price may be relevant to explain behavioral intention to adopt the BEVs technology. Furthermore, the UTAUT2 framework seems to benefit from adding new variables, with TS playing a pertinent role in explaining technology acceptance.

The findings show that environmental concern fails to build an argument for the shift to full electric mobility and promote the desired behavioral change toward adopting BEVs. Herein lies the necessity to consider new variables that can better describe the characteristics of modern society.

This paper proposes the TS construct, combining visibility and trialability as significant determinants of behavioral intention to use technology. The study also stresses the need to reconsider the role of environmental concerns' impact on consumer decision-making.

The present study intends to discover and analyze the determinants of users' intention to use (ITU) drone-based online food delivery (OFD) services. The study mainly focuses on the drone-based food delivery system in India and its implications.

This study has used the purposive sampling method. With the support of the technology acceptance model (TAM) and the theory of planned behavior (TPB), a theoretical model was developed conceptually. Later, the model was validated using the partial least square-structure equation modeling (PLS-SEM) technique with consideration of 324 responses mainly from university students in Delhi- National Capital Region (NCR).

The findings reveal that all the determinants are positively and significantly related to ITU, except for perceived behavioral control that does not influence the consumer’s ITU drone-based OFD services. The study also shows that how food delivery system through drone can revolutionize the entire food delivery system in India.

The present study has developed a unique model that can be used by practitioners, future researchers in this field and policymakers in government departments. The present study is limited to Delhi-NCR in India, and thus, there is an issue of generalizability in the present study.

This study has examined the future of food delivery system through drone-based system. Thus, the leaders in the food industry will be better positioned to understand consumers' intentions to use OFD services using drones and be able to make more informed decisions about investment in drone technology in their respective organizations.

The present study has combined both the technology adoption model and the TPB and developed a theoretical model. The study enriches the literature on drone-based OFD services. Since users' acceptance of OFD services using drones is an under-researched area, the present study will make a meaningful contribution to bring the body of literature in this domain.

The purpose of this study is to examine the ease of use and usefulness of the application Taobao and whether involvement, self-confidence and self-expression of users are related and ultimately affect the purchase intention of Gen Z Chinese users on the site.

The theoretical basis of Technology Acceptance Model (TAM) was utilized. An online survey of 46 questions and 190 responses of Chinese consumers between the ages of 18 and 23 was conducted. PROCESS and a linear regression were used to analyze the results.

Through the lens of the TAM (Davis, 1989), the findings of this study determined that for participants TAM was deemed more useful when TAM was viewed than as easier to use. However, in this case perceived ease of use and usefulness did not directly relate to attitude. Instead, attitude was directly related to self-expression, confidence and involvement as the determining factors of positive attitude leading to intention. The study found that self-expression was most significant regarding attitude. To influence perceived self-expression though, ease of use and usefulness were crucial to obtain this effective characteristic.

In this study how the ease of use and usefulness of the application and involvement, self-confidence and self-expression of users are related and affect the purchase intention is examined.

This study explores the impact of Industry Revolution 4.0 (IR4.0) on learning factory implementation in Universiti Malaysia Pahang (UMP). A learning factory is an action-oriented approach to teaching with participants acquiring competencies through structured self-learning processes in a production–technological learning environment. It integrates different teaching methods with the main objective of moving traditional teaching methods to become closer to real industrial problems. However, there is still limited information that can be used to evaluate the impact of IR4.0 on its implementation in UMP. Therefore, this study focuses on exploring the challenges faced by UMP in developing their learning factory and examines the effectiveness of UMP Learning Factory as a new teaching and learning process to support Industry 4.0.

First of all, identifying a problem was done, and information regarding the topic was obtained via research from various sources. Example of sources is online journals, books, the Internet and others. It is essential to understand the rationale behind why the research should be carried out as well as the objectives of the study in relation to the topic of interest. After that, a survey of the relevant literature was carried out to compile more pertinent material and run it through the lens of the selected subject. It makes the process of establishing a theoretical framework easier, and it also improves one's knowledge of the research being done. The next step in the process involves selecting responders based on the research. In order to calculate the appropriate sample size for this study, we must identify the entire population so that we can ensure that the findings we obtain are reliable. The entire population are first filtered based on the purpose of the research, and only then is it possible to establish the size of the needed sample of respondents. This research study's data gathering techniques consisted of five steps; however, in this particular study, the researcher only employed two approaches, which focused on individual interviews and semi-structured interviews, respectively. In order to address both the study purpose and the research questions, the interview questions that were developed were meant to relate to one another. During this interview procedure, the interviewees will have the option to elaborate or supply an increasing amount of pertinent data and information. Participants in the interview who have accumulated a significant amount of experience in the relevant sector are better positioned to provide both their personal and professional perspectives. The researcher will utilize audio to gather the script from the responder so that they may collect the data for analysis. The researcher is able to find the precise data analysis from the responses with the assistance of this programme. As a result, the researcher's question to the responders can be considered credible and genuine. Each respondent may read a particular question in the questionnaire in the same manner. As a result, although the question may be trusted, this fact is mostly irrelevant given that it lacks internal validity and hence does not make it possible to answer the research topic. In conclusion, the findings of this study are analysed, and conclusions are drawn from them.

In order to explore and answer research questions that are tailored to research objectives, the purpose of this study is to investigate such questions. The primary purpose of this study is to evaluate the influence that Industry 4.0 will have on the instructional methodology that will be utilized at UMP. Regarding the second aim, the purpose is to investigate the difficulties that the Universiti Malaysia Pahang encounters in the process of creating the Learning Factory. The final goal is to investigate how well UMP Learning Factory performs as a novel approach to education and training that is intended to assist Industry 4.0. The University of Malaya in Penang (UMP), which is widely regarded as one of the premier educational institutions of its kind in Malaysia, has recently implemented a learning factory as one of its pedagogical approaches. The university's deployment of the learning factory is very recent, and as such, there is room for improvement to make the most of the potential offered by this instructional approach. However, the findings of this research indicate that there is a favourable influence on both learning and teaching. The influence of the implementation of Learning Factory, which is becoming one technique of educational reform, is one of the most important factors to consider. According to the study's findings, UMP has successfully developed a learning factory that has a major influence on the learning process and is extremely good at what it does. The student benefits from an enhanced teaching and learning experience as a direct result of the contribution made by the learning factory. When it comes to generating a learning component based on the result, several obstacles have been identified. If UMP or other institutions intend to create a new learning factory, the problems might be considered factors to consider. In the teaching and learning process context, it has been demonstrated that a learning factory is particularly successful. The learning factory approach is one of the teaching techniques that makes the students understand better and have the experience of handling and controlling the equipment. Because this method introduces the hands-on approach, it is one of the teaching methods. The learning factory method is one that, in its most fundamental form, may be particularly beneficial for students to prepare themselves for the arduous process of joining the workforce. The classroom setting will be quite similar to that of a factory, and the student will improve their general collaboration. In addition to this, they will be able to operate machines and have knowledge regarding the machines that are found in the learning factory. The learning factory makes a significant contribution to the knowledge transfer process in UMP by facilitating the development of a deeper comprehension of certain bodies of information. When compared to more traditional methods of transferring information, the student will have a much easier time comprehending the material that is taught to them through the use of the hands-on learning technique.

This study gained some information about the impact of IR4.0 towards educational transformation, which is expected to give positive results. Basically, this research will provide further explanation about IR4.0 and educational transformation in UMP focus on learning factory. Generally, the implementation of IR4.0 in education will produce a positive result and help the students in the future. The result from this case study will hopefully be beneficial to society. The finding from this research will be used as references to all, especially top management and technical staff of UMP, for further understanding of the impact of the implementation of the learning factory. While conducting this research, seven respondents were selected from the two faculty with their own learning factories, Faculty of Industrial Management (FIM) and Faculty of Technology (FTEK). The researcher targeted lecturers and technical staff as their respondents. The overall result from the interview session was analysed. All the result is based on the interview answer to the researcher's question

The purpose of this study is to design a wearable medical device as a human care platform and to introduce the design details, key technologies and practical implementation methods of the system.

A multi-channel data acquisition scheme based on PCI-E (rapid interconnection of peripheral components) was proposed. The flexible biosensor is integrated with the flexible data acquisition card with monitoring capability, and the embedded (device that can operate independently) chip STM32F103VET6 is used to realize the simultaneous processing of multi-channel human health parameters. The human health parameters were transferred to the upper computer LabVIEW by intelligent clothing through USB or wireless Bluetooth to complete the transmission and processing of clinical data, which facilitates the analysis of medical data.

The smart clothing provides a mobile medical cloud platform for wearable medical through cloud computing, which can continuously monitor the body's wrist movement, body temperature and perspiration for 24 h. The result shows that each channel is completely accurate to the top computer display, which can meet the expected requirements, and the wearable instant care system can be applied to healthcare.

The smart clothing in this study is based on the monitoring and diagnosis of textiles, and the electronic communication devices can cooperate and interact to form a wearable textile system that provides medical monitoring and prevention services to individuals in the fastest and most accurate way. Each channel of the system is precisely matched to the display screen of the host computer and meets the expected requirements. As a real-time human health protection platform technology, continuous monitoring of human vital signs can complete the application of human motion detection, medical health monitoring and human–computer interaction. Ultimately, such an intelligent garment will become an integral part of our everyday clothing.

The purpose of this study is to systematically examine the existing literature published on the circulation methods used in academic libraries and to discuss a proposed model for the self-check-in and check-out methods using quick response (QR) codes.

A systematic literature review (SLR) provided a complete overview of circulation systems used in academic libraries for the last more than 140 years. Preferred reporting items for systematic reviews and meta-analyses (PRISMA) method for SLR was used. Several databases such as ProQuest, Emerald, Library and Information Science Abstracts, EBSCO and Google Scholar were searched. Out of 277 papers retrieved in the search, 43 most relevant papers were taken up for the SLR. These were classified into four themes based on the systems of circulation used, namely, manual (5), mechanized (13), automated (5) and networked system (20). Based on the findings of the SLR, a model of circulation system in which QR code technology has been used.

The result of SLR identified 33 systems used in above mentioned four groups. Among this, a large number 48.48% of mechanized systems were found. Each system has limitations either because of devices used or of technology. The present study proposes a QR code-based model at the circulation desk, for which a prototype of Android app has been designed. This would help to initiate the new “self-services” facility to users at the circulation desk.

The proposed model, after its successful implementation, can be adopted by academic libraries. Guidelines and a graphical representation of this study can be used by any researcher for further experimentation.

To the best of the authors’ knowledge, this is the first kind of study in which a QR code-based Android app model has been proposed for library circulation records.