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This research paper aims to apply the technology‐organization‐environment (TOE) framework to describe and discuss the critical factors concerning the diffusion of voice over internet protocol (VoIP) innovations among Chinese large enterprises, in particular, Air China and Harvest Fund.

The paper deploys a dual case study methodology and extensive triangulation, including review of archival data, in‐depth interviews with key stakeholders, and a questionnaire survey.

Key factors were identified that have significant influence on the VoIP adoption by Chinese large enterprises. These factors were grouped under the TOE framework to facilitate analysis. Based on the rich data set, the paper identified the following key factors for successful adoption, implementation, and use. Managers of large companies seem to consider reliability of a new technology as the most important factor to be considered for feasibility study and budget approval. At the same time, top management support is extremely important in China. For the top executives, especially those with government background, any major decisions must not only be financially sound but also politically correct. In addition, compatibility with pre‐existing systems, following technology trends and ease of use were also viewed as critical factors influencing the initial adoption of VoIP technology and also affecting its success of implementation and subsequent use.

This paper is exploratory in nature including a dual‐case study design. Further descriptive or/and explanatory studies may help confirm the identified factors and provide additional evidence and explanations why these factors are critical for the diffusion of VoIP among Chinese large companies. Second, a future research avenue is the deregulation of the sector by the Chinese government. Further study can focus on what kinds of benefits can be derived from deregulation as in other countries or regions and how to deregulate current restrictions and foster the development of this market in China. Third, the companies studied in this paper are large companies with a history of government control. With the gradual rise of private companies in China, a future researcher could study the key influential factors for VoIP adoption for these companies.

Out of these critical factors, the paper identifies two rarely mentioned factors that are critical among Chinese large enterprises: first, technology trend; and second, the innovation's return on investment (price/total cost of ownership). The paper also spells out management implications for practitioners in large Chinese firms.

Organizational concerns over the cost and effectiveness of training programs have focused attention on the effectiveness of the transfer of training to the job‐site. This paper identifies the key trainee and environmental factors that influence transfer effectiveness, addresses the various underlying issues, discusses the implications, and presents a framework to guide future research and interventions.

The purpose of this paper, systematic literature review, is twofold: to identify the factors influencing graduate job choice and to propose a theoretical model that can be useful for future research.

Thematic analysis of the literature available till June 2020 has been reviewed using electronic databases such as ABI/INFORM Complete, EBSCO, Emerald Insight, ProQuest, SAGE Journals, Science Direct (Elsevier), Scopus, Springer Link, Taylor and Francis Online, Wiley Online Library.

Out of more than 5,000 studies, 14 studies were found addressing the issue of career choice among graduating students. The thematic analysis result explored five themes such as internal factors, external factors, interpersonal factors, institutional factors and socio-demographic factors that can be considered critical for graduates’ career choice decision. Details of the subthemes are also identified.

Implications for practitioners have been suggested from the internal factors, external factors, interpersonal factors, institutional factors and socio-demographic factors’ perspectives. The study result can be useful for conducting future research using quantitative data on graduate job choice.

This is the first attempt to present a comprehensive picture of past studies on graduate job choice and exploring the factors influencing graduate job choice.

This study intends to review studies on the success criteria and critical success factors (CSFs) for mega infrastructure construction projects (MICPs) from journal articles between 2000 and 2018 to (1) identify the publication trend of success criteria and CSFs for MICPs; (2) explore distributions of selected papers, including the distribution of journals, authors’ origin/country and publications by country or region focus; and (3) summarize the findings of success criteria and CSFs studies of MICPs.

A methodical and systematic analysis of 38 selected journal articles was conducted using descriptive analysis to obtain the annual trend of publications, distributions of publication sources, contributors’ origin/country, regions/countries of research focus, methods involved in publications and thematic analysis to identify and categorize success criteria and CSFs for MICPs.

Australia, the USA, UK, China and Hong Kong had been the leading contributors for publications on success criteria and CSFs for MICPs; meanwhile, China, Australia and the UK have been the countries of focus for most studies on this specific topic. This review identified 20 success criteria grouped into 5 constructs and 36 CSFs grouped into 5 categories and, respectively, integrated them into two conceptual frameworks. The top five CSFs were adequate resource availability, partnering/relationships with key stakeholders, adequate communication and coordination among related parties, public support or acceptance and clear strategic vision. Three implications, namely, evaluation indicators, relationships between CSFs and the success of MICPs and human-related factors, are highlighted in future research.

The identified success criteria and CSFs provide a basis for evaluating the success possibility of MICPs and serve to identify areas for further improvement. Additionally, the CSFs checklist and framework have been established, which could help to conduct further empirical studies. Finally, the holistic analysis identifies gaps in the body of knowledge, revealing avenues for future research.

The purpose of this paper is to decipher the possibility of ensuring the effectiveness of sales training by focusing on selected organization-related variables and thereafter aims at making recommendations for enhancing the overall sales training effectiveness. Variables that are under organizations’ control, like training transfer climate, training evaluation and degree of choice (mandatory or by choice) were selected for this study. The study also attempted to understand how these variables influence at pre-training stage and post-training stage.

This cross-sectional research involved both exploratory and conclusive phases. To test the postulated hypotheses, data were collected in two phases from sales executives of a large oil and gas petrochemical company having the presence across India. A total of 370 sales executives, who were the part of a sales training program, were approached twice, one before the training and once after the eight weeks of training. Data from the respondents who completed both pre- and post-training survey (255) were used for analyses.

The results indicate that all the three predictor variables – training awareness, perceived transfer climate and the presence of an appropriate training evaluation mechanism, influence trainees’ motivation to learn. The results depict that motivation to learn mediates the association between the predictor variables and the resultant variable. Also, degree of choice was found to moderate the association between motivation to learn and sales training effectiveness. The research reinforces the significance of pre-training factors in designing sales training programs to ensure its better effectiveness.

The present study captures organizational-level variables as they are under the control of the organization and can be managed. The study included both motivation to learn and training effectiveness in the hypothesized model to understand the motivational issues in a holistic perspective. The outcomes of this research strengthen the role of trainees’ motivation to learn as a connecting variable between organizational-level variables and sales training effectiveness. Thus, the outcome of this study contributes to the literature on training motivation as well as training effectiveness.

The findings of this study are significant for sales organizations or the organizations offering sales training aiming to enhance overall training effectiveness. Training managers must focus on these factors and ensure that all the pre-training organizational-level variables are very well-taken care of. This implies that the trainees need to be well informed about the training calendar, training policies, training content, expectations from them and how the program will be evaluated after training, along with appropriate positive transfer climate. Organizations should also include proper training evaluation mechanism to measure training at different levels.

This study is an attempt to decipher the possibility of ensuring the effectiveness of sales training by focusing on select organization-related variables, and thereafter aims at making recommendations for enhancing the overall sales training effectiveness. The study’s uniqueness lies in simultaneous examination of influence of various variables, and that too at two different points of time (before and after the training). These two perspectives are apparently missing in the existing sales training literature.

This paper presents a contingency analysis of additive manufacturing's (AM) impacts, proposes a novel form of AM-enabled competitive capabilities and explores manufacturing contexts (including product-operation-organization-related factors) influencing those capabilities.

A theoretical model incorporating manufacturing competitive capabilities and contingency concepts is developed and validated using an empirical study on 105 manufacturing firms using AM. Structural equation modeling is applied for statistical data analysis.

The results indicate that the production volume and material type have contingency effects on AM-enabled product quality, cost reduction and green capabilities. Besides, it has been demonstrated that the degree of a country's economic development and the firm's experience have contingency impacts on AM's capabilities as well.

The contextual settings employed in this study are limited. A future contingency analysis requires further exploration of other factors (e.g. different AM technologies or application sectors) through in-depth case studies. Future studies can also be built upon the proposed framework to generalize the model for analyzing other emerging manufacturing technologies.

Uncertainties around AM implementation and its consequences place the context of evaluation as an essential facet. The derived insights aid practitioners in aligning the firm's internal characteristics (i.e. manufacturing and organizational contexts) with AM's promising competitive capabilities.

The study is among the first analysis to empirically and rigorously establishes the contingency effects of manufacturing and organizational factors on competitive capabilities related to AM, using a representative sample of manufacturers spanning different countries, firm sizes and other investigated manufacturing contexts.

Aviation has multi-cultural business environment in all aspects as operational and management. Managing aviation requires high awareness on human factor risk which includes organizational behavior-related topics. The greatest risk to an enterprise’s ability to achieve its strategic goals and objectives is the human factor. Both organizational behavior and corporate culture behavior with social psychology are the most vital aspects of management and strategy in terms of human resources. Related risks, including organizational behavior and culture, have the potential to directly impact on both business performance and corporate sustainability. Therefore, in this paper, the most prominent risks were determined in accordance with social psychology, and after identification of human factor-based risks, these have prioritized and prepared risk mapping with fresh approach. For this reason, this study aims to develop risk mapping model for human factors that takes into account interrelations among risk factors three dimensional based new approach. This approach includes both identification of human factor based risks, prioritization them and setting risk mapping according to corporate based qualifications via tailoring risk list. Developed risk map in this paper will help to manage corporate risks to achieve improved performance and sustainability.

This new organizational behavior- and culture-focused risk mapping model developed in this study has the potential to make significant contribution to the management of the human factor for modern management and strategy. In enterprise risk management system, risk mapping is both strong and effective strategic methodology to manage ergonomics issue with strategic approach. Human factor is both determinative and also strategic element to both continuity and performance of business operations with safely and sound. In view of management and strategy, vitally, the human factor determines the outcome in both every business and every decision-making.

It is assumed that, if managers manage human risk you may get advantages to achieving corporate strategies in timely manner. Aviation is sensitive sector for its ingredients: airports, airlines, air traffic management, aircraft maintenance, pilotage and ground handling. Aim of this paper is to present risk management approach to optimize human performance while minimizing both failures and errors by aircraft maintenance technician (AMT). This model may apply all human factors in other departments of aviation such as pilots and traffic controllers. AMT is key component of aircraft maintenance. Thus, errors made by AMTs will cause aircraft accidents or incidents or near miss incidents. In this study, new taxonomy model for human risk factors in aircraft maintenance organizations has been designed, and also new qualitative risk assessment as three dimensions is carried out by considering the factors affecting the AMT’s error obtained from extensive literature review and expert opinions in the field of aviation. Human error risks are first categorized into two main groups and sub three groups and then prioritized using the risk matrix via triple dimension as probability, severity and interrelations ratio between risks.

Risk mapping is established to decide which risk management option they will apply for managers when they will look at this map. Managers may use risk map to both identify their managerial priorities and share sources to managing risks, and make decisions on risk handling options. This new model may be a useful new tool to manage ergonomic human factor-based risks in developing strategy in aviation business management. In addition, this paper will contribute to department of management and strategy and related literature.

This study has originality via new modeling of risk matrix. In this study, dimension of risk analysis has been improved as three dimensions. This study has new approach and new assessment of risk with likelihood (probability), impact (severity) and interrelations ratio. This new model may be a useful new tool to both assess and prioritize mapping of ergonomic-based risks in business management. In addition, this research will contribute to aviation management and strategy literature and also enterprise risk management literature.

The literature on Kaizen transferability to non-Japanese culture is still evolving. The results suggest that the relevant research is still at a descriptive and explanatory stage. This study aims to identify and prioritize the importance of significant Kaizen transferability factors in a non-Japanese culture.

A decision theory-based prescriptive analysis methodology was used to analyze identified Kaizen transferability success factors. Firstly, a list of Kaizen transferability factors was devised from the literature using a systematic literature review. Secondly, an integrated interpretative structure modeling and analytic network process approach were applied to generate preference among factors.

A framework with a prioritized Kaizen transferability success factors included, in ascending order, organization culture, employee participation, employee discipline, employee personal initiative, top management commitment, management enforcement, employee eagerness, management support and national culture and traditions.

Managers and decision-makers would better understand where to direct their effort and attention to implement the Kaizen management philosophy to improve firm-level productivity. Although the factors studied in this research considered the Indonesian context, the proposed framework could be replicated and extended to include other cultures.

The present work contributes to the limited studies and documentation on Kaizen activities' transferability challenges and the Kaizen body of knowledge in developing countries. This study should help organizations in other developing countries, assimilate how to adopt and manage the Kaizen philosophy implementation by following the framework created in this research.

Purpose: Post COVID-19 disruptions, a new era of online education has begun in India providing new opportunities for imparting quality education. This study aims to explore, identify and understand the factors motivating students to enrol in online courses and facilitate decision-making for students, EdTech firms and policymakers at government level.

Methodology: The study used predominantly a qualitative research design drawing data from students pursuing graduation/post-graduation from universities in the Delhi NCR region. In the first phase, 10 groups with 8–10 members were formulated, and focus group discussions were held. The deliberations were analyzed to identify and screen factors influencing their choice to enrol in online courses. In the second phase, identified factors were presented to the students for giving their rankings to identified factors.

Findings: The student inputs in focus group discussions led to identification of factors, namely low cost, convenience, accessibility, quality education, personalized attention, availability of expert faculty, scholarship opportunities, attractive course design, availability of internet technologies like Google Meet, credibility of degree, usefulness of knowledge and skills learnt and value of online courses towards employability.

Research Limitations/Implications: The study is limited to students from the Delhi NCR region. Thus, findings cannot be generalized for other regions.

Originality/Value: Existing literature suggests that no study has been conducted in India to explore factors influencing student choice of online education. The growth of EdTech companies and government inclination towards online education necessitates research on student perceptions of online courses.

In the literature, a number of models have been developed that explain the adoption behavior of a technological innovation. Similarly, most research explaining the continuance behavior of an information system (IS) ignores the adoption processes. It is observed that researchers seem uninterested in explaining the extension of an IS. The purpose of this paper is to develop an integrated model that explains the adoption, continuance, and extension of a technological innovation – taking radio frequency identification (RFID) as the case.

Motivated by the exploratory nature of the current research, a qualitative field-study approach is adopted.

Technology-organization-environment (TOE) factors influence RFID adoption while continuance is dependent on confirmation from the initial adoption. Finally, the extension decision is influenced by the TOE factors, self-efficacy, and situational factors.

The research was conducted in eight livestock farms in Western Australia and hence the factors explored can be location specific. This is the first methodological initiative explaining the extension behavior of a technological innovation.

IS researchers may gain insight toward understanding the diffusion of innovation in the agricultural sector while agricultural agencies and farms can use the findings for their extension plan.

This study is a single initiative developing an integrated model that explains the adoption diffusion of a technological innovation.