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Information and communications technology (ICT) offers enormous opportunities for individuals, businesses and society. The application of ICT is equally important to economic and non-economic activities. Researchers have increasingly focused on the adoption and use of ICT by small and medium enterprises (SMEs) as the economic development of a country is largely dependent on them. Following the success of ICT utilisation in SMEs in developed countries, many developing countries are looking to utilise the potential of the technology to develop SMEs. Past studies have shown that the contribution of ICT to the performance of SMEs is not clear and certain. Thus, it is crucial to determine the effectiveness of ICT in generating firm performance since this has implications for SMEs’ expenditure on the technology. This research examines the diffusion of ICT among SMEs with respect to the typical stages from innovation adoption to post-adoption, by analysing the actual usage of ICT and value creation. The mediating effects of integration and utilisation on SME performance are also studied. Grounded in the innovation diffusion literature, institutional theory and resource-based theory, this study has developed a comprehensive integrated research model focused on the research objectives. Following a positivist research paradigm, this study employs a mixed-method research approach. A preliminary conceptual framework is developed through an extensive literature review and is refined by results from an in-depth field study. During the field study, a total of 11 SME owners or decision-makers were interviewed. The recorded interviews were transcribed and analysed using NVivo 10 to refine the model to develop the research hypotheses. The final research model is composed of 30 first-order and five higher-order constructs which involve both reflective and formative measures. Partial least squares-based structural equation modelling (PLS-SEM) is employed to test the theoretical model with a cross-sectional data set of 282 SMEs in Bangladesh. Survey data were collected using a structured questionnaire issued to SMEs selected by applying a stratified random sampling technique. The structural equation modelling utilises a two-step procedure of data analysis. Prior to estimating the structural model, the measurement model is examined for construct validity of the study variables (i.e. convergent and discriminant validity).

The estimates show cognitive evaluation as an important antecedent for expectation which is shaped primarily by the entrepreneurs’ beliefs (perception) and also influenced by the owners’ innovativeness and culture. Culture further influences expectation. The study finds that facilitating condition, environmental pressure and country readiness are important antecedents of expectation and ICT use. The results also reveal that integration and the degree of ICT utilisation significantly affect SMEs’ performance. Surprisingly, the findings do not reveal any significant impact of ICT usage on performance which apparently suggests the possibility of the ICT productivity paradox. However, the analysis finally proves the non-existence of the paradox by demonstrating the mediating role of ICT integration and degree of utilisation explain the influence of information technology (IT) usage on firm performance which is consistent with the resource-based theory. The results suggest that the use of ICT can enhance SMEs’ performance if the technology is integrated and properly utilised. SME owners or managers, interested stakeholders and policy makers may follow the study’s outcomes and focus on ICT integration and degree of utilisation with a view to attaining superior organisational performance.

This study urges concerned business enterprises and government to look at the environmental and cultural factors with a view to achieving ICT usage success in terms of enhanced firm performance. In particular, improving organisational practices and procedures by eliminating the traditional power distance inside organisations and implementing necessary rules and regulations are important actions for managing environmental and cultural uncertainties. The application of a Bengali user interface may help to ensure the productivity of ICT use by SMEs in Bangladesh. Establishing a favourable national technology infrastructure and legal environment may contribute positively to improving the overall situation. This study also suggests some changes and modifications in the country’s existing policies and strategies. The government and policy makers should undertake mass promotional programs to disseminate information about the various uses of computers and their contribution in developing better organisational performance. Organising specialised training programs for SME capacity building may succeed in attaining the motivation for SMEs to use ICT. Ensuring easy access to the technology by providing loans, grants and subsidies is important. Various stakeholders, partners and related organisations should come forward to support government policies and priorities in order to ensure the productive use of ICT among SMEs which finally will help to foster Bangladesh’s economic development.

Students in the marketing discipline have been reported to struggle with quantitative methods. This paper aims to focus on whether it is possible to increase student confidence and reduce anxiety with quantitative data analysis even when limited teaching resources are available. It reports on two half-day initiatives to teach quantitative methods that followed the principles of integration of method into a substantive course (as opposed to stand-alone course) and hands-on approach (as opposed to using a theoretical and hands-off approach).

Over the course of three semesters, 92 students that took part of the sessions answered a survey where they reported their basic understanding, confidence, practical abilities and anxiety with quantitative methods.

The results indicate significant improvements in self-reported basic understanding, confidence, practical abilities and anxiety. Further analysis indicated that neither gender nor previous statistical background had an impact on perceived benefit with the initiative.

In all, the study indicates that integration and hands-on approaches may be beneficial to reduce anxiety and increase confidence with quantitative data analysis, even when this initiative is limited in time and resources.

The study presents an approach to reducing anxiety and increasing confidence with quantitative data analysis. Teaching initiatives like this may be beneficial in situations when students experience high levels of statistics anxiety.

This paper describes how qualitative research methods, particularly action research case studies, can contribute to further advance and develop logistics research. The paper also describes limitations with the current dominance of quantitative (especially survey) research in logistics. However, the paper is not a pure criticism of the use of quantitative research methods in general or in logistics in specific. Rather, the argument is that it is necessary to use both quantitative and qualitative methods if we really want to develop and advance logistics research. Logistics problems are often ill‐structured, even messy, real‐world problems. Modern logistics is based on holistic and systemic thinking and uses multi‐disciplinary and cross‐functional approaches. Thus action research case studies are especially suited for an applied field such as logistics since they strive to advance both science and practice. This should also be reflected in published logistics research, which it is not. In order to change this situation, we first have to understand paradigms and their influence on how we approach and evaluate research. Second, we have to define what case studies in journal articles mean. Third, we need to develop criteria for evaluating action research case studies.

Discusses ways in which qualitative techniques might be incorporated in quantitative research and quantitative techniques in qualitative research ‐ a transfer of techniques. Explores the use of neuro‐linguistic programming (NLP) and projective techniques in quantitative research. Reports the results of customizing a self‐completion questionnaire to a respondent’s preferred representational system (PRS). This application of NLP produced encouraging findings. Provides suggestions for further research. Describes an example of how NLP and projective techniques can benefit a quantitative study with a case study in which TRBI’s BrandWorks was used. Suggests that, although the adoption by qualitative researchers of techniques used in quantitative research focuses on computer applications, the recent academic interest in the use of text analysers has not been matched by practitioners. Discusses issues related to quality, validity, transparency and value, and reports the findings of a survey of the largest qualitative marketing research suppliers. Finally, examines the use of correspondence analysis and describes ways in which correspondence analysis might benefit the qualitative researcher.

Discrete event simulation (DES) is widely known to be a quantitative research tool. A simulation modelling process is mainly based on feeding quantitative data into a model to produce quantitative results in a structured sequential process. Qualitative approaches to research take a less structured approach with more of an inclination towards judgmental and expert knowledge rather than hard data. In this paper the authors suggest that DES can be employed as both a qualitative and quantitative research tool. The paper demonstrates how simulation may represent both stances either separately or combined. This is based on the fact that the basic objectives of simulation are either for understanding – which needs a qualitative perspective – or performance measurement – which a needs quantitative perspective. Traditional quantitative and qualitative methods are discussed showing how DES might cope with the weaknesses of both stances. A structure for using DES as a combined research methodology is proposed.

University-industry collaboration (UIC) is a symbiosis relationship, brought about through knowledge and resource sharing, with the attendant benefits of innovation and technological advancement. The purpose of this paper is to investigate the state of UIC in quantity surveying profession in Nigeria with a view to ascertaining the situation and chatting the way forward.

Using quantitative survey research approach, primary data were collected through the administration of structured questionnaires on quantity surveying academia and practitioners. A total of 126 respondents were sampled: 52 university lecturers and 74 quantity surveying firms. Of these, 32 university lecturers (61.54%) and 34 quantity surveying firms (45.95%) provided valid responses. In all, this amounts to 52.38% response rate. The quantitative data obtained were analysed using mean score, frequency distribution, percentage and Mann Whitney test.

The findings show that collaboration is very strong in the areas of student industrial placement and research cooperation between students and academic researchers. However, collaboration in the areas of funding and staff exchange was found to be lagging behind.

The findings indicate strong collaboration areas (student industrial placement and research cooperation) to be sustained as well as weak areas (funding and staff exchange) to be critically looked into.

The paper represents the first research to empirically assess the state of UIC in quantity surveying profession in Nigeria. In addition, it shows the areas where efforts should be concentrated in maximizing the benefit of UIC.

The increasing use of Internet‐based qualitative and quantitative research is based on both “pull” and “push” factors. “Pull” factors include research clients’ demand for faster turnaround and low cost, while marketing research agencies’ naturally competitive endeavours represent the “push”. Attempts “to clear the e‐mist” regarding research on the Internet and examines the main types of Internet based research (qualitative and quantitative) as well as seven “sins” for Internet researchers – based on interviews with leading providers of Internet market research and IT specialists. Concludes that there is a need for both practitioners and academics to ensure their houses are kept in order and to respect the rights of respondents and clients and, just as importantly, be seen to be doing this and so keep possible interference by governments at bay.

Based on a framework developed by Kovács and Spens, this paper seeks to assess the use of the three different research approaches in logistics research; discuss the use of different research methods within the three research approaches; find and discuss applications of the abductive research approach to logistics problems.

Content analysis is used in order to categorize the different research approaches. While content analysis commonly uses smaller units such as paragraphs, sentences, words or characters, this study used entire articles as the unit of analysis. The scope of the review encompassed five years (1998‐2002) of articles in IJLM, IJPDLM and JBL. A total of 378 articles was reviewed and categorized.

The findings of the study corroborate earlier studies regarding the main research approach used in logistics. Published logistics research is hypothetico‐deductive, with a strong emphasis on using survey methods. Nevertheless, inductive as well as abductive research is gaining importance. However, most logistics articles do not explicitly discuss the research process, nor the approach used. Therefore, a call for more explicit statements of the research approach is suggested.

The review of the articles is limited to three main journals in the field. A more comprehensive view of research approaches could be obtained by broadening the review to include also other types of research.

The paper provides a framework and guidelines to researchers for explicitly discussing the research approach used in logistics articles.

The paper provides an overview of the research approaches used in logistics research.