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Researchers now have more ways than ever before to capture information about groups of interest. In many areas, these are augmenting traditional survey approaches – in others, new methods are potential replacements. This paper aims to explore three key trends: use of nonprobability samples, mobile data collection and administrative and “big data.”

Insights and lessons learned about these emerging trends are drawn from recent published articles and relevant scientific conference papers.

Each new trend has its own timeline in terms of methodological maturity. While mobile technologies for data capture are being rapidly adopted, particularly the use of internet-based surveys conducted on mobile devices, nonprobability sampling methods remain rare in most government research. Resource and quality pressures combined with the intensive research focus on new sampling methods, are, however, making nonprobability sampling a more attractive option. Finally, exploration of “big data” is becoming more common, although there are still many challenges to overcome – methodological, quality and access – before such data are used routinely.

This paper provides a timely review of recent developments in the field of data collection strategies, drawing on numerous current studies and practical applications in the field.

This study aimed to adapt existing text-mining techniques and propose a novel topic recognition approach for textual patient reviews.

The authors first transformed multilabel samples for adapting model training forms. Then, an improved method was proposed based on dynamic mixed sampling and transfer learning to improve the learning problem caused by imbalanced samples. Specifically, the training of our model was based on the framework of a convolutional neural network and self-trained Word2Vector on large-scale corpora.

Compared with the SVM and other CNN-based models, the CNN+ DMS + TL model proposed in this study has made significant improvement in F1 score.

The improved methods based on dynamic mixed sampling and transfer learning can adequately manage the learning problem caused by the skewed distribution of samples and achieve the effective and automatic topic recognition of textual patient reviews.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-01-2021-0059.

The purpose of this paper is to investigate how managers in technology‐intensive companies conceptualize and perceive “intelligence” variables in successful and unsuccessful new product development (NPD) projects, and explore the role that intelligence variables play in differentiating between successful and unsuccessful NPD outcomes. Limitations and future research directions are also discussed.

The most senior person responsible for NPD within a sample of Finnish technology‐intensive companies completed a self‐administered internet survey on the role of intelligence in successful and unsuccessful NPD projects. The JMP 1‐2‐3‐software package (version 8 for Mac) by SAS was used for statistical analysis.

The findings indicate that managers in technology‐intensive companies rely on two broad types of intelligence, technical production and market information, during the NPD process. Most intelligence variables are positively related to NPD success. In addition, it appears that managers attach lower importance to intelligence variables in successful NPD outcomes when comparisons are made with previous research.

Managers in Finnish technology‐intensive companies should carefully analyze both technical‐production information and market information in the NPD process although technical‐production information is the more important factor in the analysis of information requirements in successful NPD outcomes relative to market information.

Although market intelligence variables have been studied in the context of differentiating successful and unsuccessful industrial NPD, they have largely focused on the NPD process in broad‐based industrial and manufacturing companies. The paper examines the role of market intelligence in the NPD process of technology‐intensive companies using Finland as the study setting.

Blockchain looks to be the next step of technology transformation and would redesign the business landscape. It is expected to have an impact on business methods in the next few years; which add new challenges and complexity to the accounting and assurance profession. This paper aims to analyze the perceptions of accountants and auditors toward the implementation of blockchain technology in the UAE after the government decided to transform 50% of government transactions into the blockchain platform by 2021.

A qualitative approach has been used in this study. A semi-structural interview has been conducted with 19 accountants, internal auditors, auditors and risk managers on the potential opportunities and challenges of blockchain technology on accounting and auditing practices in the UAE.

The findings show that the blockchain impacts on the accounting profession in terms of recording of transactions, storing evidence and providing a secured environment for conducting business transactions. For the auditors, the results indicate that the blockchain changes their audit process and strategy. The blockchain has great potential to supplement traditional auditing by providing a low-cost and decentralized audit process and automated audit evidence. The accounting of the companies will not be changed but it will be automated with the development of cryptocurrencies and blockchain activities. The blockchain will be developed in assurance services through the awareness and involvement of accounts and auditors.

The study contributes to the existing literature as follows. First, the research is one of the very few studies that discussed empirically the effect of blockchain on the accounting and assurance profession, which contributes to improved knowledge about the potential of blockchain technology to accounting and assurance services. Second, our research is the first to explore the accountants and financial auditors’ perceptions regarding the potential effect of blockchain technology on their profession in the UAE context after the government decided to transform 50% of government transactions into the blockchain platform by 2021. Third, the research identifies the pending challenges for blockchain and possible factors for its effectiveness.

The case depicts an opportunity for undergraduate and postgraduate students to be exposed to the basic digitization of supply chain management, technology adoption, change management and cost-benefit analysis concepts. The study aims to encourage them to use the data given in the case and exhibits to compare and contrast physical and digital supply chains (SC); design the digitized version of the traditional SC; examine the nitty-gritty of technology adoption in the SC context; develop the change management plans for the successful adoption and implementation of SC digitization; design the risk register and Explore the business process management; and conduct the return on investment analysis.

Amber Yen, Chief Operating Officer Apparel Sourcing at Ransys Partners Ltd (RSL), was presented with the task of reducing physical sample production cost and time without impeding order pipeline. RSL was experiencing significant capacity constrain during the COVID-19 crisis, failing to deliver physical samples to international brands. To win large export orders, RSL had to adopt a new innovative way to reduce the sample approval process while meeting customer requirements. Ms Yen wanted to convert the entire sample approval process into a digital mode. She was facing multiple challenges related to the design, implementation and adoption of the digital sample approval process to coordinate the entire SC. She had limited time and was grappling with other impending constraints such as increasing cost, intense competition, demanding customers, shortage of labor due to COVID-19, reducing the bottom line. It was her time to test the idiom “necessity is the mother of innovation”.

The target audience for this case is management or business school students. This case can be used to teach digitization of SC, operations management, organization behavior, digitization of enterprises, IT for business, new service development, supplier management technology adoption, and change management in management or business schools.

Teaching notes are available for educators only.

CSS 9: Operations and Logistics.

This study aims to advance a behavioural approach towards understanding how managerial perception impacts the enactment of responses to risk management during the implementation of digital technologies in industrial operations and supply chains. The purpose is to investigate the influence of (digital) technology and task uncertainty on the risk perception of managers and how this impacts risk responses adopted by managers.

Following an exploratory theory elaboration approach, the authors collected more than 80 h of interview material from 53 expert interviews. These interviews were conducted with representatives of 46 German companies that have adopted digital technologies for different industrial applications within manufacturing, assembly and logistics processes.

The findings provide nuanced insights on how individual and combined sources of uncertainty (technology and task uncertainty) impact the perception of decision makers and the resulting managerial responses adopted. The authors uncover the important role played by the interaction between digital technology and human being in the context of industrial operations. The exploratory study shows that the joint collaboration between humans and technologies has negative implications for managerial risk responses regardless of positive or negative perception, and therefore, requires significant attention in future studies.

The empirical base for this study is limited to German companies (mainly small and medium size). Moreover, German culture can be characterised by a high uncertainty avoidance and this may also limit the generalizability of the findings.

Managers should critically revise their perception of different types of digital technologies and be aware of the impact of human-machine interaction. Thereby, they should investigate more systematic approaches of risk identification and assessment.

This paper focuses on the managerial risk responses in the context of digitalisation projects with practical insights of 53 expert interviews.

Scholars have widely asserted that a firm’s manufacturing technologies must be aligned with its competitive strategy. This study tests the existence of such a strategy‐technology “fit”, determines whether good fit results in better performance, and examines the nature of fit in light of computer controlled or “advanced manufacturing technologies”. For a sample of 399 metal machining firms, a strategy‐technology alignment was found to exist and relate to higher financial performance. Advanced manufacturing technologies were found to both reinforce and alter conventional thinking about the flexibility‐efficiency tradeoff. Specific technologies were found to be uniquely bundled or combined to support specific competitive requirements.

The primary goal of this study is to examine how services advertising strategy relates to the prevalence of minority portrayals in magazine advertisements.

The paper uses a content analysis method. Over 1,000 advertisements were collected, and 455 were employed in the study. Chi‐square difference tests were used to test hypotheses. A second sample was collected to verify some initial findings.

It was found that minority models were more likely to appear in advertisements for services than in advertisements for goods. Differences were also found across types of services. Asian models were overrepresented in advertisements for technologies, a product category with a strong services influence.

Emphasis was placed on portrayals of African‐Americans and Asians, so findings are most directly applicable to these groups. The generalizability of the results may be limited to the types of publications from which the sample was drawn.

Given the frequency of minority portrayals in advertisements for services, especially for particular types of services, managers must consider implementing this approach to reach these customer groups. Those already implementing portrayals of minority models must be mindful of the negative effects of stereotyping.

The paper considers services advertising strategy in light of changes in the make‐up of the US population. It applies the same theoretical approach to explain differences in the frequency of minority portrayals in services advertising versus goods advertising, and across different types of services.

Industry 4.0 technologies are promising to increase manufacturing companies' performance through the new knowledge that such digital technologies allow to create and manage within the firm boundaries and through customer interactions. Despite the great attention on the Industry 4.0 adoption paths, little is known about the relationships with previous waves of digital technologies, namely, information and communication technologies (ICTs), and how different groups of both types of technologies link to knowledge and its related performances.

The study employed a quantitative research design using a survey method. Submitting the questionnaire to entrepreneurs, chief operation officers or managers in charge of the operational and technological processes of Italian manufacturing firms, 206 respondents stated that their firm has adopted at least one of the seven Industry 4.0 technologies investigated.

The findings of the study highlight the positive relationship between ICT and Industry 4.0 technologies in terms of both intensity and groups of technologies (Web-based, Management and Manufacturing ICT; Operation, Customization and Data-processing 4.0), and how technologies affect knowledge-related performances in terms of products and processes, job-learning, product-related services and customer involvement.

This study is one of the first attempts to link groups of ICT to groups of Industry 4.0 technologies and to explore the effects in terms of knowledge-related performances as a measure of technology use. The study shows strong path dependency among ICT, Industry 4.0 and knowledge performance, enriching the literature on technological innovation and knowledge management.

The purpose of this paper is to employ intelligent career theory to simultaneously explore the relationships between three types of entrepreneurial career capital (i.e. motivations, human, and social capital). It illustrates the interconnectedness of these three forms of capital as an important way to study entrepreneurial careers and provide a new lens for understanding both personal and venture success.

This qualitative study of 22 in depth semi-structured interviews explores career stories of entrepreneurs in the high tech industry. The interviews focus on examining three aspects of their career, motivations to become an entrepreneur, ways of learning and developing their human and social capital. Interviews were transcribed and coded using grounded theory approach.

The findings describe how entrepreneurial careers as simultaneously shaped by three types of career capital: motivations (knowing-why), knowledge (knowing-how), and relationships (knowing-whom). It also illustrates the accumulation of career capital as a continuous cycle of interrelationships between these three types of capital.

In sum, the findings add to the knowledge on entrepreneurial careers and the role that the three types of capital play in venture formation and success. It also points to the importance of a more integrated view of these careers, embedded in a web of motivational, social, and human capital.

The study’s findings suggest that entrepreneurs should paid equal attention and nurture each form of career capital throughout their careers. It also has implications for entrepreneurship programs as well career advisers to.

Prior entrepreneurship research has examined aspects of entrepreneur’s career capital (e.g. intentions, social, and human capital) typically in isolation from one another and little is known about their reinforcing relationships in entrepreneurial careers. This study provides novel insights for understanding the three types of career capital and the importance of this more integrated view in entrepreneurship education and career counseling.