Search results

Industrial experiments have shown an unprecedented success for improving the product and process quality in many manufacturing organisations. This paper provides some useful and practical tips to industrial engineers with limited knowledge in experimental design (ED) for making industrial experiments successful in their own organisations. ED is a powerful tool which can be used to achieve breakthrough improvements in product quality and process effectiveness. The purpose of the paper is to stimulate the engineering community to start applying ED for tackling quality control problems in key processes they are dealing with everyday.

The aim of this paper is to explore how the involvement of workplace teams in experimenting with changes in their work practices through short, time-boxed, experiments (STBEs) can support organizational learning. It is explored how staffs’ experiences with experimental practices give rise to shared knowledge and how this is supported by the design of the STBE-procedure. Also explored is how the STBEs support knowledge retainment.

The study builds on the authors’ participation in a research and development project across seven financial enterprises in Denmark. Qualitative material was developed as part of the experiments. Theoretically emphasizing experience, knowledge creation through dialogue and knowledge retention, the material was analyzed, focusing on participants’ experiences and interactions, as well as on procedures.

The STBEs occasioned direct experience with new work practices for managers and employees. Supported by the STBE-procedure, these experiences generated new knowledge individually, collectively and on an organizational level. The procedure also created routines that can underpin the retainment of the new practices and knowledge related to incorporating it in the organization.

The study implicates experience with changes in work practices to be understood as predominantly mindful in opposition to simple, even when the changes appear to be simple.

The STBEs are applicable when working with organizational learning related to new work practices. Procedures supporting dialogue and mindful processes appear to be advantageous in relation to learning from experiments.

Based on an original research and development project and unique qualitative material, the study adds to discussions on how to best conduct and learn from experiments in organizations.

The purpose of this study is to present a systematic methodological review of the application of field experiments in the domain of marketing research. By performing this study, the authors seek to offer necessary advice and suggestions to marketing scholars interested in the application of field experiments and to promote the adoption of field experiments as a preferred methodological choice among scholars in this domain.

A total of 315 field experiments published in the ten leading marketing journals in the past five decades were analyzed in this systematic methodological review. This study examines various aspects of field experiments, including the research profile of existing research, different trends and topics related to field experiments, choice of research questions, methods of observations, unobtrusive data collection, types of interventions and outcome variables.

This study identified various trends and topics, categories of manipulations, types of limitations and important considerations in designing field experiments and offered necessary advice on the future of field experiments in marketing research.

This study provides a complete roadmap for future marketing scholars to adopt field studies in their research plans. The systematic summary of limitations and the checklist will be helpful for the researchers to design and execute field studies more effectively and efficiently.

This review study offers a complete roadmap for marketing scholars who are interested in adopting field experiments in their research projects. The discussion of trends and topics, manipulations, limitations, design considerations and checklist items for field experiments offers relevant insights to marketing scholars and may help them design and execute field experiments more effectively and efficiently.

To the best of the authors’ knowledge, this study is the first of its kind to provide a comprehensive methodological review of field experiments published in leading marketing journals throughout the past five decades. This study makes novel and unique contributions to both theory and literature on field experiments in the marketing discipline.

Experiments are the backbone of the development process of data-driven predictive models for scientific applications. The quality of the experiments directly impacts the model performance. Uncertainty inherently affects experiment measurements and is often missing in the available data sets due to its estimation cost. For similar reasons, experiments are very few compared to other data sources. Discarding experiments based on the missing uncertainty values would preclude the development of predictive models. Data profiling techniques are fundamental to assess data quality, but some data quality dimensions are challenging to evaluate without knowing the uncertainty. In this context, this paper aims to predict the missing uncertainty of the experiments.

This work presents a methodology to forecast the experiments’ missing uncertainty, given a data set and its ontological description. The approach is based on knowledge graph embeddings and leverages the task of link prediction over a knowledge graph representation of the experiments database. The validity of the methodology is first tested in multiple conditions using synthetic data and then applied to a large data set of experiments in the chemical kinetic domain as a case study.

The analysis results of different test case scenarios suggest that knowledge graph embedding can be used to predict the missing uncertainty of the experiments when there is a hidden relationship between the experiment metadata and the uncertainty values. The link prediction task is also resilient to random noise in the relationship. The knowledge graph embedding outperforms the baseline results if the uncertainty depends upon multiple metadata.

The employment of knowledge graph embedding to predict the missing experimental uncertainty is a novel alternative to the current and more costly techniques in the literature. Such contribution permits a better data quality profiling of scientific repositories and improves the development process of data-driven models based on scientific experiments.

In daily marketing practices, when launching and promoting new products, marketers often induce consumers’ awe of nature via exposing consumers to beautiful natural scenes. Does this marketing practice really facilitate consumers’ subsequent new product choice? Existing awe research and new product research have not examined this issue yet. The purpose of this study is to study whether the marketing practice of awe induction faciliates consumers' new product choice.

This paper examines the double-edged sword effect of different types of awe on consumers’ adoption of new products. The authors conducted five experiments using various product categories (soft drinks, juices, cookies and watches), various many sources of sample types (college student samples and adult samples) and various manipulation of awe. The authors also focused on both new products with incongruent visual appearance (Experiment 1a, Experiment 1c, Experiment 2 and Experiment 3) and new products with incongruent conceptual attributes (Experiment 1b) to enhance the rigor of the experiments and the generalizability of the conclusions.

The authors find that when consumers perceive awe of threatening natural phenomena, they decrease their choice of moderately incongruent new products (positive effect), while when consumers perceive awe of beautiful natural phenomena, they increase their choice of moderately incongruent new products (negative effect). Also, this paper finds that the emergence of the positive of the double-edged sword effect is driven by the sequential mediation of the need for accommodation and openness to new experiences, while the emergence of the negative of the double-edged sword effect is driven by the uncertainty reduction motive.

This research has important theoretical implications. First, this paper advances existing awe research by reconciling the inconsistent findings in existing awe research by categorizing awe of nature. Second, this paper advances existing research on new products and moderate incongruity effects by exploring when the moderate incongruity effect exists and when it reverses in the new products field through the classification of awe of nature.

This study has rich implications for marketing management. First, marketers can facilitate consumers’ adoption of moderate incongruent new product via priming consumers’ awe of beautiful nature. Second, this paper suggests that marketers and brand managers should carefully choose the timing of new product launches to avoid inducing consumer awe of threatening nature (e.g. immediately after a severe natural disaster). Finally, the results of Experiment 3 in this paper suggest that when marketers want to launch new products with moderate incongruity, they need to target consumers with high cognitive flexibility.

This paper discusses how different types of awe affect consumers’ attitudes and choice of moderately new products. This research question has its social value in helping marketers, companies, consumers and society know the power of awe of nature on the behaviors and decision-making.

To the best of the author’s knowledge, this paper is among the first ones to examine the double-edged sword effect of different types of awe of nature on consumers’ new product adoption.

The purpose of this paper is to discuss the use of stereoscopic virtual technology in textile and fashion studies in particular to the area of chemical experiment. The development of a designed virtual platform, called Stereoscopic Chemical Laboratory (SCL), is introduced.

To implement the suggested educational approaches of SCL, a set of teaching and learning materials with emphasis on the application methods was revised from the existing subjects. The architecture of SCL includes building of virtual objects with the Autodesk software Maya and designing of interactivity by using Unity, a game engine system. Prototype version of the SCL has been passed to selected academic colleagues and students for further evaluation and application feedback.

Textile students can conduct laboratory experiments associated with coloration and finishing of textile technologies in a stereoscopic 3D and multisensory laboratory, and hence enhance their learning experience. With the use of SCL, students can learn relevant experiment tools, experimental processes, procedures, and safety and health precautions.

There is very limited educational or training approach in applying stereoscopic virtual reality in teaching activities. In the area of textile experiment, the authors could say it is virtual and does not exist in current research domains.

The purpose of this paper is to determine whether man-hour efficiency of picking is affected by the use of batch preparation, compared to preparation of one kit at a time. This paper focuses on small kit preparation areas.

This paper is based on two experiments that were performed at a vehicle assembly plant and then analysed quantitatively.

The results provide a strong indication of the advantages associated with batch preparation, in terms of man-hour efficiency.

The fact that the effects identified during the experiments are substantial, over 20 per cent reduction of average time per picked component in Experiment 1 and 7 per cent in Experiment 2, indicates that the option of batch picking holds potentials for large cost reduction and should be considered when kit preparation systems are designed.

Limited research has dealt with the design of kit preparation systems, thus leaving considerable knowledge gaps. Previous research dealing with batch picking focuses on other environments than kitting and on large picking areas where batching can reduce walking distances. In contrast, the current paper focuses on small picking areas, which are common in industrial kitting applications. This paper provides a considerable contribution by demonstrating improvements in time efficiency that batch preparation can offer to small picking areas in addition to larger areas. The discussion also provides a basis for future research, which could focus on aspects other than time efficiency, such as the quality of kit preparation, and variables that might moderate the effect of batching.

To provide a modified orthogonal array‐based model for enabling the researchers and practitioners to exploit the technique, “design of experiments” in an agile manufacturing environment.

The characteristics of Taguchi's off‐line models and agile manufacturing were studied. A theoretical model of modified orthogonal array‐based experimentation was designed. This model was subjected to implementation study in an Indian pump‐manufacturing company.

The model contributed in this paper has shown its feasibility in achieving quality in agile manufacturing environment.

The authors are residing in an Indian city where the majority of the companies have not adopted agile manufacturing criteria. Hence, it was not possible to carry out implementation study in an agile manufacturing company. Future researchers should examine the practical validity of the proposed model in agile manufacturing companies.

Since the manufacturing organizations are fast becoming agile, due to the customers' dynamic demands coupled with competition, the traditional quality improvement techniques are becoming obsolete. The model contributed in this paper is found to be useful in achieving continuous quality improvement in AM environment. Hence the model would be a useful technique for today's practitioners whose activities are increasingly focused towards achieving agility in manufacturing.

The literature survey covering articles on agile manufacturing indicates that no researcher or practitioner has contributed a model that would exploit the technique, “design of experiments” in an agile manufacturing environment. Hence the proposed model is expected to be of high value for researchers and practitioners to explore the way of achieving continuous quality improvement in agile manufacturing environment.

Based on previous inventories, the purpose of this paper is to extend the knowledge on public administration experiments by focusing on their experimental type, design, sample type and realism levels and external validity. The aim is to provide an overview of experimental public administration and formulate potential ways forward.

The authors examine the current state of experimental public administration, by looking at a systematic selection of ISI ranked experimental publications in major public administration journals (1992-2014) and recommend ways forward based on this review.

The review indicates a rise in experimentation in public administration in recent years, this can be attributed mostly to some subfields of public administration. Furthermore, most experiments in public administration tend to have relatively simple designs, high experimental realism and a focus on external validity. Experimental public administration can be strengthened by increasing diversification in terms of samples, experimental designs, experimental types and substantive scope. Finally, the authors recommend to better utilize experiments to generate usable knowledge for practitioners and to replicate experiments to improve scientific rigour.

This paper contributes to experimental public administration by drawing on a systematic selection of papers and assessing them in depth. By means of a transparent and systematic selection of publications, various venues or ways forward are presented.

The purpose of these experiments is to find out whether and how reading behavior might be influenced by reading devices.

In total, three experiments, the first one more independent from the second and third, investigate how European Library and Information Science students react to electronic reading devices, unfamiliar as they are with them. The second and third experiments explore implications such as reading rate, concentration and symptoms of fatigue in conjunction with electronic reading devices. Test objects were the Sony eBook Reader, the IREX iLiad, LCD computer screens, Laptops and the Smart Phone HTC Touch HD in comparison with printed documents and books.

Contrary to common opinion, the results indicate a trend that concentration and/or reading rates do not suffer from reading on electronic reading devices. Further, it was found that influences on reading rate and concentration are posed rather by the individual reading behavior of a person, as well as by the nature of a text (scholarly or novelistic), than by the reading devices used.

Problems included the limited means to acquire technical support. The first experiment, in particular, suffered from inadequate equipment such as audio recordings that were too quiet. The value of the statistics is limited by the small number of test subjects and test runs. Additionally, the test persons had differing experience in reading with an electronic device. Two had used an electronic reading device before, whilst the others never had.

Based on the findings in recent literature, experiments such as this have rarely been conducted. Research in this particular field, i.e. print vs screen reading performance in adults, is sparse in recent history and more often done through examining personal preferences. To the knowledge of the authors, the research has never been done from the perspective of Library and Information Science (LIS). The preliminary results question common assumptions and theses.