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Longitudinal regression analysis is conducted to clarify causal relations and control for unwanted influences from actor heterogeneity and state dependence on theoretically important coefficient estimates. Because strategic management contains theory on how firms differ and how firm actions are influenced by their current strategic position and recent experiences, consistency of theory and methodology often requires use of longitudinal methods. We describe the theoretical motivation for longitudinal methods and outline some common methods. Based on a survey of recent articles in strategic management, we argue that longitudinal methods are now used more frequently than before, but the use is still inconsistent and insufficiently justified by theoretical or empirical considerations. In particular, strategic management researchers should use dynamic models more often, and should test for the presence of actor effects, autocorrelation, and heteroscedasticity before applying corrections.

Consumer experiences of healthcare services are challenging for researchers to study because of the complex, intangible and temporal nature of service provision. The purpose of this paper is to introduce a novel longitudinal three-phase research protocol, which combines iterative interviewing with visual techniques. This approach is utilised to study consumer service experiences, dimensions of consumer value and consumer value co-creation in a transformational service setting: complementary and alternative medicine healthcare.

This research employed a three-phase qualitative longitudinal research protocol, which incorporated: an initial in-depth interview, implementation of the visual elicitation technique Zaltman Metaphor Elicitation Technique and a final interview to gain participant feedback on the analysis of data collected in the first two phases.

Four key benefits derived from using the three-phase protocol are reported: confirmation and elaboration of consumer value themes, emergence of underreported themes, evidence of transformation and refinement of themes, ensuring dependability of data and subsequent theory development.

The study provides evidence that a longitudinal multi-method approach using in-depth interviews and visual methods is a powerful tool that service researchers should consider, particularly for transformative service research settings with sensitive contexts, such as healthcare, and when studying difficult to articulate concepts, such as consumer value and value co-creation.

The purpose of this paper is to report the experiences of researchers seeking to undertake mixed methods longitudinal research in the entrepreneurship discipline. In this research, the methodology was thoroughly planned and measures were taken to ensure longitudinal feasibility of the project. This is not what ultimately happened though. The paper reports the experience and reflects on the methodological challenges of longitudinal and qualitative studies, with a view to informing future attempts at these.

The initial study involved a sample of 600+ participants in a survey that investigated entrepreneurial intent and related antecedents and formed the baseline from which longitudinal comparisons would be made. A catastrophic attrition rate rendered neither follow-up statistical comparisons nor qualitative comparative analysis possible. An alternative, entirely qualitative, follow-up was therefore developed. While unintended, this in fact proved advantageous to the research.

Findings comprise reflection on the failure of the intended methodology. Longitudinal studies are notoriously difficult but within the broader social sciences, particularly those that inspect human experiences, there is a rich body of methodology expertise in terms of mitigating the challenges of engaging research subjects, and keeping them engaged over time.

The paper recommends, post reflection and post analysis, that greater engagement with the wider social sciences is needed in business research. As entrepreneurship research moves on to investigate the experiences of the agents of business, methods to investigate these might be better informed.

This paper seeks to examine the use of the cohort component method as a method of deriving replacement demand for manpower forecasting.

The paper explains the principal concepts of replacement demand and how replacement demand has been estimated in two alternative ways: the cohort component method and using longitudinal data on individuals. The paper focuses on one of these ways, the cohort component method, and illustrates how this method can fail to capture all the relevant flows driving replacement demand. It also compares the method to the alternative approach based on individual data and discusses US and Irish results using both methods.

The cohort component method is found to underestimate replacement demand significantly in many occupations.

Research estimates of replacement demand should be based on individual longitudinal data rather than the cohort component method.

Many countries undertake some form of occupational employment forecasting including, in many cases, making estimates of replacement demand. This paper should help to clarify the appropriate choice of methodology for estimating replacement demand.

This chapter employs a longitudinal social network approach to research small group teaching in higher education. Longitudinal social network analyses can provide in-depth understanding of the social dynamics in small groups. Specifically, it is possible to investigate and disentangle the processes by which students make or break social connections with peers and are influenced by them, as well as how those processes relate to group compositions and personal attributes, such as achievement level. With advanced methods for modelling longitudinal social networks, researchers can identify social processes affecting small group teaching and learning.

This study aims to investigate the empowering and constraining effects of performance measurement. The levers of control perspective emphasises the fact that interactive processes play an important role in balancing these effects. This paper proposes to extend the analysis of effects in this literature, by looking at them in conjunction with the role of dialogue.

This paper analyses a longitudinal case study of the use of user satisfaction indicators in the reception of a French local authority. The data were collected using a three-year longitudinal case study method from semi-directive interviews and participations at meetings.

The case study shows that performance measurement was introduced to encourage reception employees to make changes to the experience of service users. Employees were involved in the design phase of the survey and in the development of proposals. The dialogue approach represented a way of encouraging employees to agree to accept changes. However, this dialogue offered greater empowerment of employees by the managers.

Further work would be needed to enrich the characteristics of the dialogue and its effects on other performance measurement systems.

The dialogue between employees and managers was designed to be interactive and created a situation with both empowering and constraining effects. The method of organisation, involving regular meetings with formal tasks to be accomplished at each meeting, appears significant for the evolution of the effects.

We extend the levers of control perspective to demonstrate the importance of the dialogue in balancing the effects. The case study makes it easier to understand how the empowering effects are related to the objective of constraint in the dialogue approach, and how these effects evolve.

Intelligent and connected vehicle technology is in the ascendant. High-level autonomous driving places more stringent requirements on the accuracy and reliability of environmental perception. Existing research works on multitarget tracking based on multisensor fusion mostly focuses on the vehicle perspective, but limited by the principal defects of the vehicle sensor platform, it is difficult to comprehensively and accurately describe the surrounding environment information.

In this paper, a multitarget tracking method based on roadside multisensor fusion is proposed, including a multisensor fusion method based on measurement noise adaptive Kalman filtering, a global nearest neighbor data association method based on adaptive tracking gate, and a Track life cycle management method based on M/N logic rules.

Compared with fixed-size tracking gates, the adaptive tracking gates proposed in this paper can comprehensively improve the data association performance in the multitarget tracking process. Compared with single sensor measurement, the proposed method improves the position estimation accuracy by 13.5% and the velocity estimation accuracy by 22.2%. Compared with the control method, the proposed method improves the position estimation accuracy by 23.8% and the velocity estimation accuracy by 8.9%.

A multisensor fusion method with adaptive Kalman filtering of measurement noise is proposed to realize the adaptive adjustment of measurement noise. A global nearest neighbor data association method based on adaptive tracking gate is proposed to realize the adaptive adjustment of the tracking gate.

The purpose of this paper is to review the existing literature on empirical research in lean manufacturing (LM). It provides a critical assessment of empirical research methodology of 178 research articles published from 1990 to 2009.

The article reviewed a set of 178 empirical research articles in LM research with respect to empirical research design and its related facets. The 236 empirical research articles which are published in 70 journals during 1990-2009 are collected from four major management science publishers, namely, Emerald Online, Science Direct, Springer Link and Taylor & Francis. In total 178 research articles published in 24 journals are selected for critical review of empirical research methodology in LM. The approach for the critical review of 178 empirical research articles in LM is based on empirical research approach given by Flynn et al. (1990). The critical review discusses the current status of empirical research in LM and future directions.

It is concluded from the analysis of the results that: the number of empirical research articles in LM is increasing at a faster pace than ever before; theory building and theory verification articles are equally advanced; the researchers have also unexplored various aspects of empirical research such as importance of triangulation of data, alternate research designs other than survey and case studies; contextual focus is mostly on the manufacturing industry; more focus required on other aspects of empirical research such as collecting the samples from developing and undeveloped countries, larger sample size, longitudinal data collection methods. Finally, it concludes that there is a need of LM frameworks, which gives the stepwise process to remove all kinds of wastes from any organization.

To the knowledge of the authors, it is the first of its kind attempt to critically review the empirical research articles in LM. The review analysis entirely focussed on descriptive statistics of empirical research in LM. The sample size is one of the unique features of this research as the number of shortlisted articles is 178 in 24 journals published over a time span of 20 years (1990-2009).

The purpose of this paper is to conduct a critical review of the mediation studies published in the field of Human Resource Development (HRD) to discern if the study designs, the nature of data collection and the choice of statistical methods justify the causal claims made in those studies.

This paper conducts a critical review of published refereed articles that examined mediation in Human Resource Development Quarterly, Human Resource Development International, Advances in Developing Human Resources and European Journal of Training and Development. Mediation studies published in these journals from 2000 to 2015 were identified and coded. The four journals sampled were chosen to provide breadth of coverage of the different types of empirical studies published in the field of HRD.

The review findings imply that HRD scholars are not employing experimental or longitudinal designs in their studies when randomized experiments and longitudinal studies with at least three waves of data collection are regarded as the golden standards of causal research. Further, the findings indicate that sophisticated statistical modeling approaches like structural equation modeling are widely used to examine mediation in cross-sectional studies and most importantly, a large number of such studies do not acknowledge that cross-sectional data does not allow definite causal claims.

Although the findings urge us to rethink the inferences of mediation effects reported over the past 15 years in the field of HRD, this study also serves as a guide in thinking about framing and testing causal mediation models in future HRD research and even argues for a paradigm shift from a positivist orientation to critical and postmodern perspectives that can accommodate mixed methods designs for mediation research in HRD.

This paper presents a critical review of the trends in examining mediation models in the HRD discipline, suggests best practices for researchers examining the causal process of mediation and directs readers to recent methodological articles that have discussed causal issues in mediation studies.