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Toyota had mature lean capabilities when developing its supplier network. This paper aims to explore how companies can develop a Toyota-style supplier network (TSN) while their lean capabilities are still evolving.

Theoretically, this paper relies on the literature on lean maturity levels and lean supplier network development. Empirically, the paper portrays a Toyota-style initiative, detailing the buyer’s efforts to develop internal lean capabilities concurrently with developing lean in its supplier network. It compares the Network for supplier innovation (NSI) initiative with TSN development regarding activities, organizations and knowledge-sharing routines.

Unlike the sequential development in the case of Toyota, NSI improved performance and capabilities in the buyer’s supplier network by implementing lean in the firm and its supplier network concurrently. Third-party involvement was the key to the initiative’s success.

The findings are based on an in-depth single-case study which allows theoretical generalization but not statistical generalization. Furthermore, the case study concerns an initiative with Norwegian firms during a financial recession. Future studies should consider these limitations on how firms with evolving lean capabilities can develop a TSN-style supplier network and the importance of involving third parties operating in the role of lean master.

This study suggests what buying firms should consider when designing a TSN initiative, enrolling suppliers and engaging third parties that can take on the role of lean master.

Previous research has focused on how mature lean firms develop lean suppliers and networks. This paper extends this to firms whose lean capabilities are still evolving.

To develop a method for classifying information sender of web documents, which constitutes an important part of information credibility analysis.

Machine learning approach was employed. About 2,000 human‐annotated web documents were prepared for training and evaluation. The classification model was based on support vector machine, and the features used for the classification included the title and URL of documents, as well as information of the top page.

With relatively small set of features, the proposed method achieved over 50 per cent accuracy.

Some of the information sender categories were found to be more difficult to classify. This is due to the subjective nature of the categories, and further refinement of the categories is needed.

When combined with opinion/sentiment analysis techniques, information sender classification allows more profound analysis based on interactions between opinions and senders. Such analysis forms a basis of information credibility analysis.

This study formulated the problem of information sender classification. It proposed a method which achieves moderate performance. It also identified some of the issues related to information sender classification.

The purpose of this paper is to study the nature and concept of emoticons/emojis. Instead of taking for granted that these user-generated formats are necessarily emotional, we empirically assessed in what extent are they and the specificity of each one. Drawing on congruent mood state, valence core and emotion appraisal theories we expected a compatible statistical association between positive/negative/neutral emotional valence expressions and emoticons of similar valence. The positive emoticons were consistently associated with positive valence posts. Added to that analysis, 21 emotional categories were identified in posts and correlated with eight emoticons.

Two studies were used to address this question. The first study defined emoticon concept and interpreted their meaning highlighting their communication goals and anticipated effects. The link between emojis and emoticons was also obtained. Some emoticons types present more ambiguity than others. In the second study, three years of real and private (Facebook) posts from 82 adolescents were content analyzed and coded.

Only the neutral emoticons always matched neutral emotional categories found in the written interaction. Although the emoticon valence and emotional category congruence pattern was the rule, we also detected a combination of different valence emoticons types and emotion categories valence expressions. Apparently the connection between emoticon and emotion are not so obviously straightforward as the literature used to assume. The created objects designed to communicate emotions (emoticons) have their specific corresponding logic with the emotional tone of the message.

Theoretically, we discussed the emotional content of emoticons/emojis. Although this king of signals have an Asian origin and later borrowed from the western countries, their ambiguity and differing specificity have never been analyzed.

Increased evidence for the health benefits of probiotics for health restoration coupled with the consumer's inclination towards a safe, natural and cost-effective substitute for drugs have led application of probiotics as a pharmaceutical agent and are rapidly moving in clinical usage. In this context, this article attempts to highlight the potential of probiotics as a pharmaceutical agent.

Endeavor has been made to explore the significance of probiotics for the modulation of gut ecology and their action. Potentiality of probiotics for their exploitation as a pharmaceutical agent has also been justified. Limitations of probiotic therapy and the various considerations for probiotic therapy have also been delineated.

Probiotic organisms influence the physiological and pathological process of the host by modifying the intestinal microbiota, thereby affecting human health. Beneficial effects of probiotics as a pharmaceutical agent seem to be strain and dose dependent and more efficacious with their early introduction. Combination of various probiotics proved to be more efficacious than single strain for exhibiting prophylactic activities.

Reviewed literature indicated that it is difficult to generalize for the beneficial effect of all probiotics for all types of diseases as efficacy of probiotics is strain-dependent and dose-dependent and its clinical application needs long-term investigations.

Clinical trials have displayed that probiotics may alleviate certain disorders or diseases in humans especially those related to gastro-intestinal tract.

Ingestion of fermented dairy products containing probiotic cultures may provide health benefits in certain clinical conditions such as antibiotic-associated diarrhoea, rotavirus-associated diarrhoea, inflammatory bowel disease, inflammatory bowel syndrome, allergenic diseases, cancer, Helicobacter pylori infection and lactose-intolerance. Application of probiotics as a pharmaceutical agent is recommended.

Anthropomorphized brands have been widely used as marketing communication tools to engage consumers on social media, especially on Twitter. Guided by the social exchange theory (SET) and the dialogic theory, this study aims to investigate how anthropomorphized brands leverage different communication strategies on Twitter and how these strategies are related to consumer engagement.

Supervised machine learning was used to identify the communication strategies (i.e. message types and dialogic principles) of 125,887 tweets from 21 brand characters. Some statistical analyses (e.g. frequency analysis, Chi-square analysis and Poisson regression analysis) were performed to explore the relationships between communication strategies and consumer engagement (i.e. retweets and replies).

The majority of anthropomorphized brands’ tweets belonged to the socioemotional category and the most adopted dialogic principles were generation of return visits and conservation of visitors. Consumers engaged more with socioemotional tweets as well as the tweets that adopted the principles of dialogic loop and conservation of visitors. There were clear relationships between message types and dialogic principles in anthropomorphized brands’ tweets, and certain dialogic principles were found to effectively improve consumer engagement with certain message types.

To the best of the authors’ knowledge, this study is the first to investigate the communication strategies of anthropomorphized brand characters on Twitter using computational research methods. It not only provides brand managers a systematic review of how current anthropomorphized brands communicate with consumers on Twitter and what strategies work more effectively to trigger consumer engagement but also contributes to theory building in brand management by integrating the SET and the dialogic theory in brand anthropomorphism research.

This study aims (1) to numerically investigate the characteristics of a human cough jet in a quiescent environment, such as the variation with time of the velocity field, streamwise jet penetration and maximum jet width. Two different turbulence modelling approaches, the unsteady Reynolds-averaged Navier–Stokes (URANS) and large eddy simulation (LES), are used for comparison purposes. (2) To validate the numerical results with the experimental data.

Two different approaches, the URANS and LES, are used to simulate a human cough jet flow. The numerical results for the velocity magnitude contours and the spatial average of the two-dimensional velocity magnitude over the corresponding particle image velocimetry (PIV) field of view are compared with the relevant PIV measurements. Similarly, the numerical results for the streamwise velocity component at the hot-wire probe location are compared with the hot-wire anemometry (HWA) measurements. Furthermore, the numerical results for the streamwise jet penetration are compared with the data from the previous experimental work.

Based on the comparison with the URANS approach and the experimental data, the LES approach can predict the temporal development of a human cough jet reasonably well. In addition, the maximum width of the cough jet is found to grow practically linearly with time in the far-field, interrupted-jet stage, while the corresponding axial distance from the mouth of the jet front increases with time in an approximately quadratic manner.

Currently, no numerical study of human cough flow has been conducted using the LES approach due to the following challenges: (1) the computational cost is much higher than that of the URANS approach; (2) it is difficult to specify the turbulent fluctuations at the mouth for the cough jet properly; (3) it is necessary to define the appropriate conditions for the droplets to obtain statistically valid results. Therefore, this work fills this research gap.

Presents an alternative lower bound to the elastic buckling collapse of thin shells of revolution, in comparison with results from geometrically non‐linear elastic analysis. The numerical finite element method is based on axisymmetric rotational shell elements whose strain‐displacement relations are described by Koiter’s small finite deflection theory, with displacements expanded circumferentially using a Fourier series. First, compares the reduced stiffness linear analysis, based on the buckling equation without incremental linear in‐plane energy components corresponding to the lowest eigenmode (for a particular cylindrical shell under external pressure), with the results obtained by Batista and Croll. Second, the non‐linear astatic (quasi‐static) elastic analysis to clamped spherical caps under uniform external pressure is carried out in order to compare the results from a reduced stiffness analysis from viewpoints of not only buckling loads, but also total potential energy. Argues that the astatic buckling loads may relate to reductions due to a specific imperfection effect on elastic buckling collapses.

Despite appearing in the literature over 10 years ago as a potentially exciting cost management technique, there is still limited agreement about the nature of target costing. The purpose of this study is to explore the characteristics of target costing, and to test whether these characteristics were adopted in three European companies that used target costing.

This paper draws on case study data, collected at three manufacturing companies (consumer electronics, machinery, and transportation equipment).

The paper identifies eight characteristics of target costing, based on the early Japanese case descriptions. These characteristics are related to the way a target is set and how progress towards that target is measured. The findings of the case studies confirm these characteristics. However, some differences were found regarding the interpretation of the strict rule that “the target cost cannot be exceeded at product launch”.

The results indicate that future research on the adoption of target costing cannot be disconnected from its characteristics. Further studies might investigate whether degree of openness to suppliers, leadership position, time pressure and position in the supply chain can explain the noted differences in characteristics among companies.

The characteristics identified in this paper provide an aid to researchers and managers considering target costing. Detailed case descriptions provide best practices examples for other companies.

This study is the first empirical paper concerned with describing the typical characteristics of target costing. By exploring the characteristics, we hope to inspire others to further explore this interesting phenomenon.

The purpose of this paper is to provide novel and rigorous evidence on the productivity effect of varying attributes of performance-related pay (PRP) and shows that the details of PRP indeed matter.

In doing so, the authors exploit the panel nature of the Finnish Linked Employer–Employee Data on the details of PRP.

The authors first establish that the omitted variable bias is serious, which makes the cross-sectional estimates on the productivity effect of the details of PRP biased upward substantially. Relying on the fixed effect estimates that account for such bias, the authors find: (first, group incentive PRP is more potent in boosting enterprise productivity than individual incentive PRP; second, group incentive PRP with profitability as a performance measure is especially powerful in raising firm productivity; third, when a narrow measure (such as cost reduction) is already used, adding another narrow measure (such as quality improvement) yields no additional productivity gain; and fourth, PRP with greater power of incentives (the share of PRP in total compensation) results in greater productivity gains, and returns to power of incentives diminishes very slowly.

Much of the empirical literature on PRP focuses on a question of whether the firm can increase firm performance in general and enterprise productivity in particular by introducing PRP and if so, how much. However, not all PRP programs are created equal and PRP programs vary significantly in a variety of attributes. This paper provides novel and rigorous evidence on the productivity effect of varying attributes of PRP and shows that the details of PRP indeed matter.

The aim of this paper is to introduce uncertainty analysis within an environmentally extended input‐output technological model of life cycle costing. The application of this approach will be illustrated with reference to the ceramic floor tiles manufacturing process.

Input‐output analysis (IOA) provides a computational structure which is interesting for many applications within value chain analysis and business processes analysis. A technological model, which is built bottom‐upwards from the operations, warrants that production planning and corporate environmental accounting be closely related to cost accounting. Monte Carlo methods have been employed to assess how the uncertainty may affect the expected outcomes of the model.

It has been shown, when referring to a vertically‐integrated, multiproduct manufacturing process, how production and cost planning can be effectively and transparently integrated, also taking the product usage stage into account. The uncertainty of parameters has been explicitly addressed to reflect business reality, thus reducing risk while aiding management to take informed actions.

The model is subject to all the assumptions characterizing IOA. Advanced issues such as non linearity and dynamics have not been addressed. These limitations can be seen as reasonable as long as the model is mostly tailored to situations where specialized information systems and competences about complex methods may be lacking, such as in many small and medium enterprises.

Developing a formal structure which is common to environmental, or other physically‐driven, assessments and cost accounting helps to identify and to understand those drivers that are relevant to both of them, especially the effects different design solutions may have on both material flows and the associated life cycle costs.

This approach integrates physical and monetary measures, making the computational mechanisms transparent. Unlike other microeconomic IOA models, the environmental extensions have been introduced. Uncertainty has been addressed with a focus on the easiness of implementing the model.