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Organizational consultants employ scientific methodologies to collect data and generate an organizational diagnosis. Between‐method triangulation is a means of leveraging the strengths of several methods while mitigating weaknesses. This article briefly reviews common scientific data collection methodologies and provides an illustration of between‐method triangulation in organizational diagnosis. Interpretations of organizational social reality were based on the triangulation of data from interviews, systematic observation, observer‐as‐participant observation, and archival data. Between‐method triangulation resulted in a more complete assessment of organizational problems than any lone method.

The purpose of this paper is to leverage the lessons learned from three published studies on volume flexibility in the capital goods industry to demonstrate the effective use of methodological triangulation in operations management research.

The paper uses lessons learned from three published studies to address several issues that researchers encounter when using methodological triangulation. It also develops a coherent framework for developing a research strategy that uses methodological triangulation.

In demonstrating the use of triangulation, the paper documents several tradeoffs that researchers face including: outlining a triangulation strategy; considering the strengths and weaknesses of different data sources; assessing convergent, complementary divergent and meta inference; and paying attention to errors of inference during the triangulation process.

As with every research method, methodological triangulation has limitations that can be amplified by method specific issues and assumptions related to across‐method generalization and inference.

Provides a detailed example of why and how researchers make critical decisions on the appropriate use of methodological triangulation.

This work will assist future researchers who use triangulation to better position their work and to make informed choices that ultimately lead to more complete theories. This work would also be on interest to practitioners interested in keeping up with academic literature.

Construction management research (CMR) embraces many research paradigms and resultantly, methodological debate can proliferate. Triangulation is one specific method employed and this too has attracted discussion. This paper aims to subjectively but critically assess the role of triangulation within CMR. Resultantly, a “3D triangulation” (3DT) decision support model is proffered whose purpose is to improve triangulation's use.

Following review of CMR methodological debate and the (multidisciplinary) application of triangulation to research; case study examples of triangulation applied among a sample of published CMR papers are observed in subjective detail, and contrasted with the invited opinions of researchers.

Triangulation is adduced as a methodological aspect of many CMR studies – but researchers' perceptions of how it should fit within a research design and the extent to which it can contribute or should be relied upon – is varied. The authors' viewpoint is that triangulation use in CMR could sometimes be afforded more thought; and the decision to use it, be better “justified” within the broader methodological context. Accordingly, a 3DT decision support model is developed to assist in these objectives.

It is argued that 3DT can lend toward a more robust methodological design, in the context of applying triangulation to CMR specifically, and management research generally.

The 3DT model is entirely novel and evolves as a result of this specific study alone.

The purpose of this paper is to identify the dividend policy determinants of Sri Lankan firms and why they pay dividends.

The study uses several quantitative approaches to investigate dividend determinants using market (secondary) data of 190 Sri Lankan firms and 1,330 firm-year observations. Dividend determinants are also identified using survey (primary) data from 141 of the 190 firms. Triangulation is then used to facilitate validation of the data through cross-verification from two data sources.

Analysis of the market data reveals that firm size, industry impact, corporate governance, free cash flow, earnings, past dividends, profitability, investment opportunities, net working capital, concentrated ownership structure and investor preference represent the most important dividend determinants. Survey data confirm these findings. The evidence supports the pecking order, signaling, free cash flow, catering and outcome theories using both secondary and primary data and the bird-in-the-hand theory using survey data.

The findings are useful not only for corporate decision makers in establishing an appropriate dividend policy but also for shareholders in making investment decisions. Because the current study is limited to Sri Lanka, future researchers should study the same phenomenon in other countries using the triangulation approach.

This study provides a hybrid approach to dividend policy research by using both primary and secondary data in a single study. It is the first dividend study in Sri Lanka to use a triangulation approach.

This paper aims to investigate the relation between corporate governance and dividend policy in Sri Lankan firms.

The data set consists of market data using 1,608 firm-year observations from 201 firms listed on the Colombo Stock Exchange and survey-based data from 151 respondents from the same 201 firms. The authors use data triangulation to examine the two approaches.

The analysis of the market data reveals that a significantly positive relation between corporate governance on both the propensity to pay dividends and dividend payout. Survey analysis confirms these findings. Triangulated evidence supports the outcome model of dividends, free cash flow and agency cost theories.

The findings are useful not only for management in developing suitable corporate governance practices and dividend policies for their firms but also for shareholders in evaluating both existing and new investments. Future researchers should investigate the same phenomenon in other contexts using triangulation approaches to confirm their findings.

This study is the first to use governance indices both in terms of survey and market-based data to examine the relation between corporate governance and dividend policy.

The purpose of this paper is to present a critical review of the contributions of multiple theories to accounting and organizational research, which is often referred to as “theoretical triangulation” or “theoretical pluralism”, with a particular focus on the manner in which chosen research methods have informed these efforts at theoretical triangulation.

The authors conduct an analysis of how to employ theoretical triangulations and methodological pluralism in accounting and organizational research. To this end, they use prior empirical evidence for illustrative purposes.

The authors argue that using theories with epistemological tensions that are captured by appropriate research methods enable one to explore different, sometimes even contradictory, layers of meanings of realities pertaining to management accounting information and processes in organizations and society.

The paper contributes to the thinking about the interaction between theory development and research methods chosen by demonstrating how and under what circumstances multiple theories could be meaningfully integrated and executed to provide deeper understandings of accounting and organizational phenomena.

This paper reports the results of a three-year-long research on business relationships, relying on qualitative data gathered through multiple-case study research of four focal companies operating in Australia. The industry settings are as follows: steel construction, vegetable oils trading, aluminum and steel can manufacture, and imaging solutions. The research analyzes two main aspects of relationships: structure and process. This paper deals with structure describing it by the most desired features of intercompany relationships for each focal company. The primary research data have been coded drawing on extant research into business relationships. The main outcome of this part of the research is a five construct model composed by trust, commitment, bonds, distance, and information sharing that accounts for all informants’ utterances about relationship structure.

This chapter focuses on the empirical research on the resource-based view of the firm (RBV), and its main purpose is to analyse the use of mixed methods in this perspective. The recent advance of the RBV has posed new challenges, and the issue need not be quantitative versus qualitative methods, but rather how to combine the strengths of each in a mixed methods approach. This study carries out a literature review about the use of mixed methods in the RBV and provides an examination of opportunities and challenges associated with the application of mixed methods in order to improve RBV research. Moreover, the chapter seeks to introduce mixed methods research in order to familiarize to strategic management and the RBV scholars about this type of research and its terminology, procedures, designs and purposes.

The purpose of this paper is to propose a systematic and rigorous process of data collection and fieldwork in qualitative research using four empirical studies of customer interactions in new product development (NPD) as examples. The intention is to dispel a misconception that the qualitative research lacks objectivity and methodological robustness.

To collect data for all the four studies a preliminary process of conducting fieldwork was first developed from the extant literature. This preliminary framework was applied in the first study and subsequently revised twice in the second and third study by incorporating necessary changes and additions. Finally, the framework was tested and further refined in the fourth study.

The findings from these four empirical qualitative studies have demonstrated that a theory generating idiographic research such as field interviews could be carried out systematically. These findings also provide a basis for proposing a structured framework for data collection.

The paper is based only on business‐to‐business NPD. Therefore, to increase the applicability of the results more studies are needed in other business and marketing fields.

The results offer an in‐depth look at specific research activities that can be carried out for efficient idea generation work and the overall NPD efforts.

The framework reported in this paper allows for an iterative data collection process from multiple respondents and from multiple sources. This method of data collection is a key issue because product managers tend to interact with the customers and other partners repeatedly and throughout the NPD process. Thus the product managers would find this framework useful for research involving NPD and customer interactions.

Interpretive research in management accounting and control provides rich insights from empirically based studies, but it has been criticised for lacking generalisability and potential subjectivity. On the latter, triangulation is useful, and this paper aims to offer some insights on a triangulation technique thus far not commonly reported in management accounting/control research.

Drawing on a study of the roles of management accountants in performance management systems, this paper offers some insights from empirical experiences on the use of concept maps as a tool to assist triangulation and improve understanding of complex empirical phenomena.

The concept maps as utilised revealed additional insights which were not recounted by interviewees during the normal interview time. This is a potentially important finding for consideration of future researchers.

In this paper, how concept maps were used is detailed, and it is hoped that future researchers will find their use beneficial in interview settings.

Thus far, concept maps seem under-utilised in management accounting and control research. This paper gives some initial insights on how they may be used in case study settings.