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The purpose of this study is to examine empirically the joint effect of innovation and strategic planning on organizational performance of Dubai Police.

To examine the hypothesized model of the study, a survey questionnaire was used. The data were collected from the general department of total quality of the Dubai Police. The total number of questionnaires distributed was 150, out of which only 95 usable questionnaires were returned and ready for analysis. The regression approach through SPSS was used to analyze the data and test the hypotheses.

The statistical results confirm the effect of strategic planning and innovation on the organizational performance of Dubai Police.

Further details and valuable implications are discussed throughout the study. The results have many practical implications, in that it can help managers to make proper decisions when deciding to implement innovation and strategic planning in their organizations.

This study is a rare and unique empirical study that examines the effect of innovation and strategic planning on the organizational performance of Dubai Police.

Managers play a critical role in shaping the development of firms due to the risky and long-term nature of innovation. Although the managerial effect on strategic change has long been factored into organizational theories, scholars still lack a complete understanding of the specific managerial capabilities that drive innovation in today's digital economy. The present study builds on dynamic managerial capabilities theory to close this research gap. The paper proposes managers' dynamic capabilities and their three underlying drivers – managerial human capital, social capital, and cognition – as a direct antecedent to digital firms' innovativeness.

The study draws on survey data from German Industry 4.0 manufacturing firms, which were analyzed using regression analysis.

The results confirm managers' dynamic capabilities as facilitators of innovation. In contrast to previous research on nondigital industries, the findings demonstrate that only the complete portfolio of managers' dynamic capabilities promotes innovativeness in digital firms. The study provides evidence for the importance of dynamic managerial capabilities in the digital economy yet contradicts previous research on nondigital industries related to the advantageousness of managers' human capital, social capital, and cognition for innovation.

The study contributes to the literature by being the first to holistically test the effects of dynamic managerial capabilities on innovation in digital firms. The results offer a nuanced account of managers' dynamic capabilities, thereby expanding dynamic managerial capabilities theory to the digital economy.

Diagnosing pain in neonates is difficult but critical. Although approximately thirty manual pain instruments have been developed for neonatal pain diagnosis, most are complex, multifactorial, and geared toward research. The goals of this work are twofold: 1) to develop a new video dataset for automatic neonatal pain detection called iCOPEvid (infant Classification Of Pain Expressions videos), and 2) to present a classification system that sets a challenging comparison performance on this dataset. The iCOPEvid dataset contains 234 videos of 49 neonates experiencing a set of noxious stimuli, a period of rest, and an acute pain stimulus. From these videos 20 s segments are extracted and grouped into two classes: pain (49) and nopain (185), with the nopain video segments handpicked to produce a highly challenging dataset. An ensemble of twelve global and local descriptors with a Bag-of-Features approach is utilized to improve the performance of some new descriptors based on Gaussian of Local Descriptors (GOLD). The basic classifier used in the ensembles is the Support Vector Machine, and decisions are combined by sum rule. These results are compared with standard methods, some deep learning approaches, and 185 human assessments. Our best machine learning methods are shown to outperform the human judges.

This paper aims to assess agri-environment (AE) scheme options on cultivated agricultural land in England for their impact on agricultural greenhouse gas (GHG) emissions. It considers both absolute emissions reduction and reduction incorporating yield decrease and potential production displacement. Similarities with Ecological Focus Areas (EFAs) introduced in 2015 as part of the post-2014 Common Agricultural Policy reform, and their potential impact, are considered.

A life-cycle analysis approach derives GHG emissions for 18 key representative options. Meta-modelling is used to account for spatial environmental variables (annual precipitation, soil type and erosion risk), supplementing the Intergovernmental Panel on Climate Change methodology.

Most options achieve an absolute reduction in GHG emissions compared to an existing arable crop baseline but at the expense of removing land from production, risking production displacement. Soil and water protection options designed to reduce soil erosion and nitrate leaching decrease GHG emissions without loss of crop yield. Undersown spring cereals support decreased inputs and emissions per unit of crop yield. The most valuable AE options identified are included in the proposed EFAs, although lower priority is afforded to some.

Recommendations are made where applicable to modify option management prescriptions and to further reduce GHG emissions.

This research is relevant and of value to land managers and policy makers. A dichotomous key summarises AE option prioritisation and supports GHG mitigation on cultivated land in England. The results are also applicable to other European countries.

Hong Kong has a global reputation as an entrepreneurial hub. The Japanese restaurant community has grown and evolved over the last three decades into what many consider as a natural secondary market for Japanese food. As such, several Japanese restaurateurs have come to Hong Kong to enter Hong Kong’s premium Japanese restaurant market. The purpose of this paper is to explore this market of Japanese restaurateurship in Hong Kong.

One of the closest methodologies within the topic and discipline from Baldwin (2017) focuses on Japaneseness as a measurement of culinary authenticity examining Hong Kong’s Michelin rated restaurants. Here, the qualitative approach using semi-structured interviews with the chefs of two sets of premium Japanese restaurants from Japan that expanded in Hong Kong, Sushi Iwa and Sushi Yoshitake. As this paper focuses on the premium and high-end market of Japanese chefs and restaurateurs in Hong Kong, the researcher combined the approaches of Kawahara & Speece and Baldwin to pursue a qualitative methodology using semi-structured interviews.

For this research, the interview process had to be divided into two stages. The first was to speak with long standing members of Hong Kong’s Japanese restaurant community. The common thread amongst the restaurateurs was that they were either the sole proprietor or a partner who was financially vested within the company not a form of sweat equity. To respect the privacy of the interviews, questions about exact monetary amounts, number of shares and equity or anything regarding holdings were not asked. The idea was to only examine their responses within the criteria of the research objectives.

As the Michelin and premium market of Japanese cuisine is so small, this research can only represent a certain part of the market. Future research could examine other Japanese restaurateurs outside of this market that could be examined to gain a wider perspective of the entrepreneurial strategies they used to start-up their business in Hong Kong.

As research in this area is very limited, this paper helps bring restaurateurship in Hong Kong into the academic front. Restaurants are one of the most common entry points for new entrepreneurs in hospitality. This paper may help shed some light on how foreign investment entrepreneurship has been achieved in Asia.