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The coal-fired power plants have been confronted with new operation challenge since the unified carbon trading market was launched in China. To make the optimal decision for the carbon emissions and power production has already been an important subject for the plants. Most of the previous studies only considered the market prices of electricity and coal to optimize the generation plan. However, with the opening of the carbon trading market, carbon emission has become a restrictive factor for power generation. By introducing the carbon-reduction target in the production decision, this study aims to achieve both the environmental and economic benefits for the coal-fired power plants to positively deal with the operational pressure.

A dynamic optimization approach with both long- and short-term decisions was proposed in this study to control the carbon emissions and power production. First, the operation rules of carbon, electricity and coal markets are analyzed, and a two-step decision-making algorithm for annual and weekly production is presented. Second, a production profit model based on engineering constraints is established, and a greedy heuristics algorithm is applied in the Gurobi solver to obtain the amounts of weekly carbon emission, power generation and coal purchasing. Finally, an example analysis is carried out with five generators of a coal-fired power plant for illustration.

The results show that the joint information of the multiple markets of carbon, electricity and coal determines the real profitability of power production, which can assist the plants to optimize their production and increase the profits. The case analyses demonstrate that the carbon emission is reduced by 2.89% according to the authors’ method, while the annual profit is improved by 1.55%.

As an important power producer and high carbon emitter, coal-fired power plants should actively participate in the carbon market. Rather than trade blindly at the end of the agreement period, they should deeply associate the prices of carbon, electricity and coal together and realize optimal management of carbon emission and production decision efficiently.

This paper offers an effective method for the coal-fired power plant, which is struggling to survive, to manage its carbon emission and power production optimally.

The authors evaluate the Sell in May effect in the Canadian context to comprehensively explore the Sell in May effect as well as its interactions with the size effect and risk and with multiple indices.

The authors use ordinary least squares (OLS) regressions to examine the Sell in May effect and Huber M-estimation to handle potential outliers. They also use the generalized autoregressive conditional heteroskedasticity (GARCH) models to explore the role of risk in the Sell in May effect.

The results demonstrate that the Sell in May effect is present in all three main Canadian stock market indices. More telling, the anomaly is strongest in small cap indices and in indices that give equal weighting to small and large cap stocks. They do not find that the effect is driven by risk.

While several papers have explored the Sell in May phenomenon in several countries, little scholarly attention has been paid to this effect in Canada and to its interaction with the size effect. The authors contribute to the literature by examining of the interactions between Sell in May and the size effect in Canada. They examine the Sell in May effect using CFMRC value-weighted and equally weighted indices of all Canadian companies. They also incorporate in their analysis the role of risk.

The purpose of this study is to explore the interplay between the selection of selling formats of remanufactured products for a third-party remanufacturer (TPR) and the quality decision of an original equipment manufacturer (OEM).

This study considers a remanufacturing supply chain, where the OEM sells new products through a platform retailer, but the products remanufactured by the TPR can be sold via a direct or indirect channel. The authors model a Stackelberg game and explore the optimal quality decision of the OEM and selling format choice of the TPR.

The OEM's optimal decision depends mainly on consumers' discounted utility coefficient and cost-scale factor of remanufactured products. A higher consumers' valuation of the remanufactured product will not result in a higher retail price, but may lead to an increase in new product's sales. Given the cost-scale factor, the TPR prefers to sell directly no matter what the value of consumers' discounted utility coefficient is. An all-win situation is achieved with selling directly when consumers' discounted utility coefficient is sufficiently large.

These results provide some support to the operational strategies of the OEM and TPR.

This study firstly endogenizes the quality decision and combines the selling format selection of the TPR and the quality decision of the OEM to explore the interplay between these two important decisions.

In prior literature, online endorsement system allowing the users to “like” or “dislike” shared information is found very useful in information filtering and trust elicitation in most social networks. This paper shows that such systems could fail in the context of investment communities due to several psychological biases.

This study develops a series of regression analyses to model the “like”/“dislike” voting process and whether or not such endorsement distinguishes between valuable information and noise. Trading simulations are also used to validate the practical implications of the findings.

The main findings of this research are twofold: (1) in the context of investment communities, online endorsement system fails to signify value-relevant information and (2) bullish information and “wisdom over the past event” information receive more “likes” and fewer “dislikes” on average, but they underperform in stock market price discovery.

This study demonstrates that biased endorsement may lead to the failure of the online endorsement system as information gatekeeper in investment communities. Two underlying mechanisms are proposed and tested. This study opens up new research opportunities to investigate the causes of biased endorsement in online environment and motivates the development of alternative information filtering systems.

This study examined the effects of adopting dairy feed technology bundles on the milk production of smallholder dairy farmers.

The study was based on Multinomial Endogenous Switching Regression (MESR) to estimate the effects of the adoption of three feed technology bundles on milk production using data collected from 518 dairy farm households in West Java, Indonesia.

The findings indicated that adopting technology bundles had positive and robust effects on milk production, with gradual positive effects between non-adoption and the adoption of different bundles of technologies.

This study focused on the association between the adoption of feed technology bundles and milk production. However, further analysis of the causal links between the adoption of feed technologies and milk production as well as the inclusion of other outcomes in the analysis, such as production costs and risk mitigation, are required.

Most of the literature on agricultural technology adoption focuses on the adoption of individual technologies, crop farming and conservation practices. Therefore, this study examined the effects of the adoption of dairy feed technology bundles.

This study aims to analyze the effects of the components of absorptive capacity (ACAP) – potential absorptive capacity (PACAP) and realized absorptive capacity (RACAP) on inbound and outbound open innovation (OI). In addition, this study investigates the moderating role that knowledge-oriented leadership (KOL) plays in the relationship between ACAP and OI.

This research adopts a quantitative approach, using structural equation modeling, in a sample of 218 companies in the Brazilian manufacturing sector, using a random sampling technique and self-administered questionnaire.

The results indicate that while PACAP positively influences inbound and outbound OI, RACAP has a significant relationship only with outbound OI. In addition, KOL moderates the significant relationships between PACAP and RACAP and OI, indicating that the development of a leadership that fosters learning and interaction between employees and sectors of the organization impacts the innovation results of companies in the manufacturing sector.

This study also shows that managers must have an active role in the construction of an organizational context that supports learning through initiatives that encourage the process of trial and error, teamwork and cooperation between employees.

This research advances previous studies by relating the two components of ACAP (PACAP and RACAP) with the two OI models (inbound and outbound), in addition to analyzing the moderating role that KOL plays in this relationship between ACAP and OI.

The purpose of this paper is to examine the effects of performance management (PM) practices on in-bound open innovation (OI) and out-bound OI. To do this, the authors examine the organizational effectiveness as well as the non-financial and financial performance of Brazilian startups that have had recent OI relationships with larger companies.

Using data collected from 103 Brazilian startups, the hypotheses were tested via partial least squares–structural equation modeling (PLS-SEM). An additional analysis was performed using fuzzy-set qualitative comparative analysis (fsQCA).

The findings show that PM practices orchestrate in-bound OI and out-bound OI; however, only in-bound OI promotes organizational effectiveness in Brazilian startups. Organizational effectiveness results in good non-financial performance, which in turn improves financial performance. PM practices have an indirect effect on financial performance from the serial mediation of in-bound OI, organizational effectiveness and non-financial performance. Moreover, several combinations of conditions lead to high levels of organizational effectiveness, non-financial performance and financial performance.

This study provides new evidence and insights from an emerging market on the antecedents and consequences of startups' OI adoption.

The purpose of this article is to examine Cairo's master plans during the past 70 years, including the establishment of the New Administrative Capital City—which is based on two fundamental courses on the phenomenon of urbanisation—and other initiatives to address Cairo's Plans based on the thoughts of three planning schools—Chicago, Los Angeles and Liverpool. The aim is to determine if the right time to relocate Egypt's capital to a different place makes sense.

Cairo has experienced significant urban challenges throughout its millennial history due to the continually shifting socioeconomic and political changes. This research uses prospective and retrospective methods to examine how planning theories have historically influenced building Cairo’s urban fabric and provides insight into the city’s master plans from the July Revolution of 1952.

It is assumed that Cairo's socio-spatial transitions over time were caused by scattered expansion, leading to contemporary Cairo's socio-spatial evolution. The paper ends with some questions about the future of the city. Should planning policies change to cope with socioeconomic, spatial and political transitions?

The article's significance stems from the necessity of adaptable and considerate ideas that move Cairo's communities towards a better setting and provide a crucial route for enhancing their environments. Using digital technologies to implement new capital while creating platform urbanism may be accomplished even with constrained budgets and short course lengths.

This paper aims to explore the importance of knowledge-oriented leadership in the context of business model innovation (BMI) and open innovation. This study also seeks to explore the existence of a mediating effect of absorptive capacity.

Data were collected using a survey, from the information technology industry in India. The relationships proposed in the conceptual framework were tested with structural equation modeling (SEM) using Smart partial least squares (PLS) 3.

The findings highlight a positive influence of knowledge-oriented leadership on BMI and open innovation. Results also revealed that open innovation can facilitate BMI. Additionally, findings highlighted the mediating role of absorptive capacity in these relationships.

This study suggests that businesses should employ and value leaders who can create, transform, store and use knowledge resources. Companies that employ such leaders encourage the creation and exchange of new knowledge, which consequently would lead to the successful exploration of innovative approaches. A culture of open innovation would help managers break down barriers, overcome inertia and continuously test new business models to generate revenues, increase value, enhance organizational effectiveness and ultimately gain competitive advantage.

This study is one of the first to empirically contribute to the role of knowledge-oriented leadership and BMI from the perspective of open innovation.