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The aim of this article is to consolidate the theory relating to longitudinal attitude surveys, and supplement it with knowledge gained from the execution of an annual attitude survey of consumers.

First, the article presents a distillation of current knowledge concerning longitudinal research; attitudes and behaviour; measurement of attitudes; and conduct of attitude surveys. Following that, a case study is carried out to survey consumer attitudes. This survey, which is intended to predict future behaviour and monitor changes in consumers' attitudes in response to socio‐political and economic changes in the food and agricultural market environment, is then discussed.

The findings of a series of annual surveys of consumers' attitudes first conducted in 1997 and continued annually to 2004 include: British farmers are viewed as “good food producers”; farms are businesses, which whilst forming the financial backbone of the rural community are at present members of a struggling industry; and there is agreement that the Government does not care for the countryside.

The survey on which the findings and the best practices are based upon relates to the consumers' attitudes in response to changes in the food and agricultural market environment. Further research would be required to verify the findings in respect of other market sections.

The article presents a checklist of eight good practices relating to the conduct of longitudinal attitude survey work.

Attitude surveys are a popular means of gathering market research data. Much has been written about attitudes and the conduct of ad hoc attitude surveys. However, much less has been published concerning longitudinal attitude surveys. The study reports empirical findings in an important context, that is: changes in consumers' attitudes in response to changes in the food and agricultural market environment.

A common understanding of what events to regard as production disturbances (PD) are essential for effective handling of PDs. Therefore, the purpose of this paper is to answer the two questions: how are individuals with production or maintenance management positions in industry classifying different PD factors? Which factors are being measured and registered as PDs in the companies monitoring systems?

A longitudinal approach using a repeated cross-sectional survey design was adopted. Empirical data were collected from 80 companies in 2001 using a paper-based questionnaire, and from 71 companies in 2014 using a web-based questionnaire.

A diverging view of 21 proposed PD factors is found between respondents in manufacturing industry, and there is also a lack of correspondence with existing literature. In particular, planned events are not classified and registered to the same extent as downtime losses. Moreover, the respondents are often prone to classify factors as PDs compared to what is actually registered. This diverging view has been consistent for over a decade, and hinders companies to develop systematic and effective strategies for handling of PDs.

There has been no in-depth investigation, especially not from a longitudinal perspective, of the personal interpretation of PDs from people who play a central role in achieving high reliability of production systems.

To identify the factors that need to be addressed by Indian industry to steeply ramp up its production and productivity in the coming years, so as to achieve the goal of the country becoming a 5 trillion dollar economy by 2025.

Lean Management Leaders in Indian Industry (LMLII), i.e. those companies in India who are well known for having adopted TQM, BE and Lean methods for many years, and achieved success in their business) in Indian industry were selected and surveys were done between 2013 and 2017, to assess the status of LM adoption, by using the LESAT (version 2.0) survey tool. A longitudinal empirical study has been done, over a period of five years, so that the identification of factors is based on a few years’ data rather than a one year, spot-check or snapshot view. A new method, titled the ‘Three Step Reverse Exploratory Factor Analysis Procedure (TSREP)’, has been attempted to identify the ‘root causes’.

LMLII's have improved in their adoption of LM over these years by about 10%. The root causes that can help in further advancement in adoption have been identified and classified under six component factors.

The identification of LMLII's has been done based on the experience and views of experts in TQM/ BE/ Lean in India. Since this is a first of such study (viz., the term LMLII is being defined and used for the first time), this methodology has been adopted. However, in future, a systematic way to assess the criteria for LMLII's could be designed. Secondly, the sample size of LMLII's needs to be fully representative of the industry.

By using the results of this study, Indian companies can accelerate their LM adoption programmes, leading to quantum jumps in production and productivity, so as to achieve the 5 trillion USD economy by 2025. The practical implications are immense.

Since LM is a bundle of Lean, TQM and BE, companies adopting LM will, due to the inclusion of waste reduction through 5S, JIT, kaizens and continuous improvement, address the Triple Bottom Line (TBL) protocol of the UN. TBL has comprehensive implications on society and environment, climate change and sustainability of business.

This work is original, at least in three ways. First, in the use of the concept of ‘LML’. Second, there is no previous longitudinal study done on Indian industry in LM. Third, the TSREP is being used for the first time. The value of this research is in its findings, in the identification of key factors for future growth and the use of a novel technique for improving upon the accuracy, analytical rigour and legitimacy of the results.

The objective of this paper is to demonstrate that the Pygmalion hypothesis is supported in the housing market and the hypothesis that investors are, all too frequently, unrealistically over‐optimistic cannot be rejected.

The methodology in the paper relies on a cross‐sectional questionnaire survey and a longitudinal telephone survey.

The findings in the paper demonstrate that self‐fulfilling prophecies occur in property markets. The effect of self‐fulfilling expectations is common and more powerful than rational real estate fundamentals. The consistent pattern of significant over‐forecasting of housing prices suggest that the hypothesis that investors are, most of the time, over‐confident cannot be rejected.

In the longitudinal survey in this paper, only limited samples were secured. The developmental change of attitudes and buying behaviors over time was not observed. People's price expectations might be different from those reported in the first three waves of survey, as real estate fundamentals change from time to time.

In the paper a forward looking approach is used to solicit people's views on current and future housing prices, investment considerations and sentiment over time. An increase in property price being simply the outcome of self‐fulfilling expectations – the Pygmalion Effect will be signaled to housing participants. Studying people's confidence and sentiments helps understand speculative enthusiasm or ‘bubble”.

The longitudinal survey in the paper on people's price expectations is the first of its kind in Hong Kong. The results are beneficial to policy makers, homeowners, potential homebuyers and investors. Housing decisions of potential homebuyers can be made more rationally and Government officials can have more reliable property information and data for policy formulation.

Purpose – This paper seeks to examine the relationship between individuals' developmental mentoring networks and a subjective career outcome, clarity of professional identity. How developmental network characteristics are related to professional identity over time is explored. Design/methodology/approach – This is a three‐wave, longitudinal survey study, covering a five‐year span (1996‐2001). The participants (n=136), full‐time MBA students at the inception of the study, provided complete developmental network data on each survey. The relationships between clarity of professional identity and three different measures of developmental network density were explored: early‐career density; general density; and density dynamics (e.g. the change in density over time). Findings – Developmental network density, which reflects the professional identity exploration process, is negatively related to clarity of professional identity. Research limitations/implications – The study is limited by the use of graduating MBA students from a single, top‐20 business school as participants. Practical implications – The findings suggest that people might be able to improve their careers through changing their developmental networks, particularly during their early‐career years. Originality/value – This paper provides novel insights to the mentoring, identity, and careers literatures. Given the previously uncharted territory of understanding the dynamics of developmental networks and its relationship to career outcomes, this study opens avenues for future research, while also answering questions about developmental networks and the ways they function over time.

The purpose of this paper is to present results from three years of a longitudinal “Assessment Attitudes and Practices” survey collected from a large school district in the Southern USA.

This paper focuses on both formative and summative “assessment practices” results from secondary (middle and high school) social studies teachers.

There was no statistically significant difference between secondary social studies teachers’ use of assessments and secondary teachers of other disciplines, nor was there a statistically significant difference in assessment use by year. Data results by assessment type were ranked in order of how often teachers claimed to use various assessment practices, and discussed in terms of assessment practices recommended by NCSS. Social studies teachers in this study were often more likely to report use of assessments of knowledge (including selected-response items) than performance-based assessment techniques (such as authentic assessments).

The lack of statistically significant differences in assessment practices along disciplinary lines indicates homogeneity in the use of assessments that does not do justice to social studies.

Using Common Core standards or not, having a 1:1 technological environment or not, teacher respondents essentially reported using the same assessments, perhaps because high-stakes assessments did not change.

There is a need for professional development that helps teachers see how performance-based assessments can be used to boost student performance on high-stakes assessments.

Studies of actual assessment practices (as opposed to ideas about how teachers should assess) are still quite rare, and provide a helpful window in understanding what is actually happening inside schools.

The purpose of this paper is to identify the effect of time on ISO 9000's contribution to total quality management and performance improvement.

Initial empirical research was conducted in Greek certified companies to evaluate their motives for certification and the benefits gained from it across eight basic total quality management (TQM) categories. The results of the survey verify the hypothesis that ISO 9000 certification can serve as a good first step towards TQM, since performance improvement is statistically significant in all TQM‐related issues. However, in order for ISO 9000 certification to serve as a good first step towards TQM, performance improvement should continue to grow even after certification. For this reason, a second survey was carried out in the same companies after a three‐year period.

The results prove that although the standard's implementation helps companies to achieve an initial improvement in their quality performance, it cannot guarantee that this improvement will continue after certification.

Future research should focus on the contribution of the new ISO 9000:2000 series and its ability to re‐boost performance improvement in certified organisations.

The paper shows that ISO 9000 certification can be used as the “first” but not the “last” step towards quality improvement. Although the standard's implementation helps companies to achieve an initial improvement in their quality performance, it cannot guarantee that this improvement continues after certification.

The paper provides a longitudinal study of ISO 9000's contribution to TQM and operational performance improvement.

Lack of robustness of findings characterizes the empirical studies about the effect of the transition to parenthood on partners’ labour division. In this analysis, the purpose of this paper is to solve these problems through the conjoint use of methodological instruments of regression analysis, allowing the authors to correct for the effects of omitted variables.

A correction method is here applied to a longitudinal simultaneous equation model. In particular, the authors impose specific constraints on the covariances of the error terms of the longitudinal simultaneous equations of the paid and domestic work of both partners. For the empirical analysis, use is made of the Italian National Institute of Statistics Multipurpose Panel Survey in the years 2003 and 2007 to select a survey sample of dual-earner Italian couples.

The authors found that the negative influence of motherhood on the Italian women’s paid work supply is stronger than the positive effect of wage. The authors found that having a child (whatever the order) decreases a woman’s paid work hours by 17 hours a week, while woman’s domestic work increases by 20 hours a week as the effect of the birth of the first child.

Compared to Fixed Effect or Change-Score models suggested for longitudinal studies the Seemingly Unrelated Regression Equations-Difference-in-Differences procedure let us obtain estimations also for the effect of time-invariant variables. In addition, the methodological approach allows us to correct estimates for the common effects that latent variables exert simultaneously (e.g. the bargaining process) on paid and unpaid work equations of both partners.

A rich agenda for future research in the field of Lean Manufacturing (LM) is available in the academic literature. The purpose of this paper is to determine the LM future research methodologies suggested in the literature and to classify them into themes. Classifying these themes into broad categories is also an aim of the present study.

For the purpose of the present study, a systematic literature review (SLR) of peer reviewed journal articles in LM was conducted. A total of 214 articles published in 46 journals during 2010–2020 were collected from four major management science publishers, namely, Emerald Online, Elsevier/Science Direct, Springer Link and Taylor and Francis. To organize the qualitative data into meaningful themes and these themes into broad categories, the quality tool “affinity diagram” was applied.

The review of LM articles that are increasing over time reveals the “vital few” academic journals, which have published most of the sample articles. The plethora of the suggested future research methodologies are analytically presented and classified into meaningful themes, namely, the size of the research sample and its composition, several types of study (other than surveys), longitudinal studies, applying advanced statistical analysis and (mathematical) modeling techniques, objective, real and quantitative data, surveys, mixed/multiple research studies, reliability and validity analysis, using computer-aided technology for data collection and processing and research collaborations. These themes in turn are classified into broad categories, namely, study, data and statistical analysis and modeling.

This SLR is not comprehensive because the number of the databases searched is restricted to four. Moreover, the literature review is limited to peer reviewed journal articles regarding Lean only in the manufacturing sector, while the subject reviewed is limited to the future research methodologies. The subjectivity of classifying the large number of the future research methodologies into themes and these themes into broad categories is also a limitation of the present SLR. Based on these limitations, future literature review studies can be carried out.

Researchers can be analytically informed about the future research methodologies suggested in the literature and their respective key themes and broad categories, to design original research studies of high academic and practical value.

This study goes beyond previous SLRs on LM by presenting analytically the plethora of the future research methodologies suggested in the literature as well as by identifying natural patterns or groupings of these methodologies.

The purpose of this paper is to examine, through a longitudinal study, undergraduate student perceptions of service expectations, priorities and quality of the higher education institution that they attend, using an importance–performance rating matrix.

This research was carried out with students exposed to a new type of educational program that combines face-to-face encounters with distance learning experiences. Respondents belong to five graduate courses in management. Data collection was performed at five different time points, targeting all attending students as they continued their studies.

The findings showed that the students’ expectations of the set of factor-defined dimensions and attributes studied increased notably over time. Senior students tended to be more demanding than beginning students. Aside from the comfort levels of the classroom, the attributes rated as most important by the majority of students were directly linked to the professors, whether with respect to their practical experience, teaching methods, motivation or training received. This was the case at each stage of data collection.

The importance × performance gaps matrix offers managers at higher education institutions with information to support decisions, especially with regard to setting priorities. The information obtained enables managers to align actions with emerging areas of need, and effectively direct resources to ensure student satisfaction, retention and loyalty. Using importance ratings taken at different stages of student interaction with the institution was found to be useful at the institution investigated. Institutions could attract new student customers by meeting expectations with such trend data.

The current research captured students’ changes in expectations of their undergraduate coursework that combined classroom and distance learning approaches. In addition, the study documented variations over time in students’ perceptions on key service areas. The paper provides data on student-perceived priorities, quality gaps and criticality levels, seen both at a level of aggregate dimensions and at the level of individual service attributes.