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Enterprise Systems are comprehensive and complex applications that form the core business operating system for many companies worldwide and throughout most industries. The selection, implementation, use and continuous change of Enterprise Systems (ES) (e.g. mySAP.com) require a great amount of knowledge and experience. Due to the lack of in‐house ES knowledge and the high costs of engaging experienced implementation consultants, organizations realize the need to better leverage their knowledge resources. Managing this knowledge is increasingly important with the second wave of ES projects focusing E‐Business applications like Customer Relationship Management (CRM) and Supply Chain Management (SCM). These new applications embrace an open‐integration strategy that will incorporate and support other vendors’ applications as part of its Internet‐based enterprise computing platform. This paper proposes a framework for managing knowledge in Enterprise Systems. The framework draws its strength from meta‐case studies and comprehensive literature analyses, which is consolidated into a three‐dimensional framework. The preliminary results show that the importance of value‐adding activities and innovation are elemental to knowledge management in the aspect of ES.

The National Archives of Singapore offers reference services to members of the public on questions related to Singapore’s history and heritage. However, with only two reference officers stationed at the reference helpdesk at any one time, users may often have to queue to await servicing while the officers are busy attending to queries, telephone calls or retrieving physical documents. The Reference Enquiry Database was thus conceived to provide Web‐based access to ready reference information on frequently asked subjects by members of the public, thereby reducing waiting times for users, easing the workload of reference officers and allowing them more time to attend to more complex information needs. This paper provides the background and rationale for the system as well as discusses design and implementation issues.

Social enterprise has the potential to serve as a mechanism of social and economic opportunity for persons experiencing homelessness. This paper aims to identify potential outcomes of work integration social enterprises (WISEs) for people who are homeless, at risk of homelessness, or transitioning out of homelessness.

Searches of 14 databases were completed using keywords and subject headings pertaining to homelessness, social enterprise and employment, respectively. These searches were then combined to identify literature concerning WISEs with homeless populations. The initial search yielded 784 unique articles. Through screening, 29 articles were selected and independently coded to establish themes.

The analysis identified the potential for WISEs to contribute positively to the lives of the target population in the areas of connection to the community, employment skill building, mental health, personal agency and empowerment, relationship-building, structure and time use, financial stability and housing. There were less positive and mixed findings regarding substance use, crime/delinquency, physical health and transition to mainstream employment. Future research should further explore causal relationships between WISE approaches and strategies and their potential implications for persons emerging from homelessness.

Prior to this research, there have not been any recent publications that synthesize the existing body of literature to evaluate the potential outcomes of WISE participation for homeless populations. This paper lays the groundwork for future empirical studies.

This study aims to verify the following hypothesis: People with extreme opinions post on social media more than those with moderate opinions.

A social media posting model was constructed to estimate the influence of extreme opinions on the number of social media posts in Japan, Korea and the USA. For a quantitative verification, data from 5,095 questionnaire surveys were regressed using a Tobit model.

Extreme opinions were found to increase the number of social media posts in all three countries and for both surveyed topics (constitutional amendment in Japan and increasing number of foreigners in Japan, Korea and the USA). Furthermore, the higher the interest in the topic, the greater the effect. The hypothesis was thus supported.

The survey was conducted online, and the sample size in Korea and the USA was smaller than in Japan. The topics were limited to two, and only three countries were included.

People should use social media knowing that there are numerous extreme views online. Companies that provide social media platforms should consider measures to ensure that users are not exclusively exposed to extreme opinions.

This research conducts a quantitative analysis on the effects of opinion extremity on social media posting behavior and the resulting bias in online opinion distribution, a topic on which there is scant prior research.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-07-2020-0310.

There are a plethora of putative influencing variables available in the literature for modelling real estate prices using AI. Their choice tends to differ from one researcher to the other, consequently leading to subjectivity in the selection process. Thus, there is a need to seek the viewpoint of practitioners on the applicability and level of significance of these academically established variables.

Using the Delphi technique, this study collated and structured the 35 underlying micro- and macroeconomic parameters derived from literature and eight variables suggested by 11 selected real estate experts. The experts ranked these variables in order of influence using a seven-point Likert scale with a reasonable consensus during the fourth round (Kendall's W = 0.7418).

The study discovered that 16 variables are very influential with seven being extremely influential. These extremely influential variables include flexibility, adaptability of design, accessibility to the building, the size of office spaces, quality of construction, state of repairs, expected capital growth and proximity to volatile areas.

The results of this study improve the quality of data available to valuers towards a fortified price prediction for investors, and thereby, restoring the valuers' credibility and integrity.

The “volatility level of an area”, which was revealed as a distinct factor in the survey is used to add to current knowledge concerning office price. Hence, this study offers real estate practitioners and researchers valuable knowledge on the critical variables that must be considered in AI-based price modelling.

The purpose of this study is to explore the impact of product category and consumers’ motivations profiles on the determinants of consumers’ preferences and purchase intentions of counterfeits and genuine products, through manipulation of product attributes and purchase situations.

The study relies on an experimental design involving a questionnaire on a convenience sample with two parts: a tradeoff model manipulating three attributes, product type (genuine vs. counterfeit), price (high vs. low) and place of purchase (regular shop, Internet and market) in two product categories, and a scale measuring motivations to purchase counterfeits. Ranking and purchase intentions are analyzed using conjoint analysis and generalized linear mixed model (GLMM).

Ranking reveals a dominant pattern of consumer behavior regarding counterfeiting: product type, price and place of purchase. Product category has a moderating effect on choice criteria: relative importance of place of purchase and price varies according product category. Consumers’ motivations profiles have also a moderating effect on consumer behavior. Some profiles are more receptive to copies. Consumers’ profiles exhibit different hierarchies of purchase criteria and may change them depending upon product category.

Results challenge literature on the dominant role of price among choice criteria. Price alone cannot determine a counterfeit purchase. It is the interaction of price, place of purchase or product type that explains such a behavior. Product category matters: Price and place of purchase importance cannot be considered without accounting for product category. Consumers’ motivations profile matters. Consumers are not homogeneous face to counterfeits.

This paper aims to investigate the impact of perceived risk, ethical judgement, value consciousness, susceptibility to social influence and neutralisation on counterfeit clothes and accessories purchase intention in Egypt.

A single cross-sectional survey was conducted. Questionnaires were used to collect data from 361 counterfeit buyers in Egypt. To test the hypotheses, partial least squares-structural equation model was applied.

The results indicate that neutralisation, perceived risk and susceptibility to social influence significantly impact attitudes towards counterfeiting and purchase intentions, whereas value consciousness impacts counterfeit purchase intention. In addition, attitudes mediate the effects of perceived risk, susceptibility to social influence and neutralisation on purchase intention.

Brand producers/retailers and the government need to adhere to a number of practices to curb counterfeit demand, mainly by tackling the neutralisation’s impacts, demonstrating various risks of counterfeiting and developing a collective attitude against counterfeiting.

This study contributes to the ethical decision-making literature by empirically testing and quantifying the impact of neutralisation on shaping counterfeit buyers’ attitudes and purchase intention.

This paper aims to study the residual test results under uni-axial compression of tie confined pre-damaged normal strength concrete short columns subjected to elevated temperatures.

The test variables included temperature of exposure, spacing of transverse confining reinforcement and pre-damage level. An experimental program was designed and carried out involving testing of hoop confined concrete cylindrical specimens exposed to elevated temperatures ranging from room temperature to 900 °C.

The test results indicate that the residual strength, strain corresponding to the peak stress and the post-peak strains of confined concrete are not affected significantly up to an exposure temperature of 300 °C. However, the peak confined stress falls and the corresponding strain increase considerably in the temperature range of 600 to 900 °C. It is shown that an increase in the degree of confinement reinforcement results in an increased residual strength and deformability of pre-damaged confined concrete.

It is applicable in finding the residual strength and strain of the pre-damaged confined concrete in uni-axial compression after exposure to elevated temperature.

The practical implications is that the test result is applicable in finding the residual strengths of pre-damaged confined concrete under uni-axial compression after exposure to elevated temperature.

The main aim of the present investigation is to provide experimental data on the residual behaviour of pre-damaged confined concrete subjected to high temperatures.

The results of this study may be useful for developing the guidelines for designing the confinement reinforcement of reinforced concrete columns against the combined actions of earthquake and fire, as well as for designing the retrofitting schemes after these sequential disasters.

Over the last decade, value chain for development has shown its bias towards global value chain approaches. This article proposes a holistic framework to carry out feasibility analysis for the establishment of a value chain.

A qualitative research approach was used to collect and analyse data from a wide range of stakeholders potentially involved in establishment of a global cut-foliage value chain based on wild harvesting of ornamental ferns in New Caledonia.

Multiple feasibility analyses revealed issues that need to be addressed, priorities for different stakeholders and possible ways forward in the establishment of a value chain.

The framework supports businesses, entrepreneurs, investors, donors and governments in proceeding with value chain establishment with significant consideration of social, economic and environmental drivers for sustainability.

Relevant concepts in several fields are integrated into a single framework that can guide feasibility analysis of value chain establishment.

This paper examines the performance of smallholder rice farms established using improved planting technologies – broadcasting, dibbling and transplanting – under different production systems – rain-fed and irrigation – in Ghana.

Using recent cross-sectional data of 200 smallholder rice farmers from the upper east region of Ghana, this study employed multinomial logit model and descriptive and inferential statistics for the analysis.

The results revealed that rice production under irrigation system contributes significantly to increasing farm productivity and profitability. Rice farmers who adopted dibbling and transplanting technologies under both irrigation and rain-fed production system obtained higher productivity and profitability than those who used broadcasting technology. Adoption of improved rice planting technologies by smallholder farmers is significantly influenced by education, farm size, improved rice varieties, sales outlets, hired labour and percentage of paddy sold.

The sample size is relatively small, even though findings are still very important in terms of policy formulation for improved smallholder farm performance in a developing country like Ghana.

This study calls for collaborative efforts by government, donor agencies and NGOs to establish irrigation facilities and/or expand existing ones, increase sensitization and dissemination of improved planting technologies, as well as intensify the input subsidy programme in Ghana.

To the best of the authors knowledge, this is the first study that focuses on farmers' choice of rice planting technologies under irrigation and rain-fed production systems, and how these technologies impact on smallholder farm performance in Ghana.