Search

Big data are known to improve operational efficiency, competitiveness, and performance. Despite these unprecedented benefits, the understanding of how big data transform organizational processes remains limited. To address this gap, this research empirically investigates how big data analytics management capabilities (BDAMC) influence innovation performance. This study bases its assumptions on the dynamic capability and knowledge-based views. A PLS-SEM analysis of 199 firms reveals that establishing BDAMC is essential for fostering organizations’ innovation performance. This study advances knowledge by demonstrating that BDAMC enhances organizations’ strategic agility, which subsequently boosts innovation performance. Moreover, the empirical findings reveal that developing BDAMC is crucial for achieving strategic alignment, which in turn reinforces innovation performance. These unique findings hold significant practical value for managers and consultants seeking to leverage big data-related systems within organizations.

The increasing concern about the environment has enhanced the utilization of sustainable products in every field of life, from common household items to fabrics. Although cotton is a plant-based fiber, its cultivation requires large amounts of water and pesticides. Therefore, the future of product development demands environmental friendliness. To overcome the problems of cotton related to the environment, a novel sustainable fabric was developed by using Tencel and jute fiber for the apparel industry to reduce the usage of cotton. In this current study, six blended yarns of two counts (10 & 20 Ne) of Tencel and jute (90:10, 80:20, and 70:30) were developed by ring spinning to weave fabric in two weave designs (Plain & Twill). These developed fabrics were assessed for mechanical, comfort, and hand properties. The results revealed that the blended fabric with a high content of Tencel is good in terms of mechanical, comfort, and hand properties, except for stiffness, pilling resistance, resilience, and drapeability. Additionally, fabric woven with a fine yarn count is also good in the above-stated properties, except for stiffness, resilience, and wrinkle recovery. However, fabrics woven with a twill weave design have good comfort and hand properties, except for smoothness and drapability. On the other hand, fabric with a plain weave design is good in terms of mechanical properties, except for tear strength. The comparison of TJ blended fabric with PC blended fabric shows that the tensile strength, air permeability and OMMC of JT blended fabric is 8.31%, 96%, and 29.46% higher than PC blended fabric but tear strength is 99% less. Furthermore, statistical analysis was performed to check the effect of the input variables on the response factors, and it was found that the effect of yarn count on all output responses is statistically the most significant.

Given the carcinogenic properties of formaldehyde-based chemicals, an alternative method for resin-finishing cotton textiles is urgently needed. Therefore, the primary objective of this study is to introduce a sustainable resin-finishing process for cotton fabric via an industrial procedure. For this purpose, Bluesign® approved a formaldehyde-free Knittex RCT® resin was used, and the process parameters were designed and optimized according to the Taguchi L27 method. XRD analysis confirmed the crosslinking formation between resin and neighboring molecules of cotton fabric, as no change in the cellulose crystallization phase. Several machine learning models were built in a sequence to predict the crease recovery angle (CRA), tearing strength (TE) and whiteness index (WI). Assessment of modelling was evaluated through the use of various metrics such as root mean square error (RMSE), mean absolute error (MAE), and the coefficient of determination (R2). Results were compared to those from other regression models, such as principal component regression (PCR), partial least squares regression (PLSR), and fuzzy modelling. Based on the results of our research, the LSSVR model predicted the CRA, TE, and WI with substantially more accuracy than other models, as shown by the fact that its RMSE and MAE values were significantly lower. In addition, it offered the greatest possible R2 values, reaching up to 0.9627.

Nanoscale surface roughness has conventionally been induced by using complicated approaches; however, the homogeneity of superhydrophobic surface and hazardous pollutants continue to have existing challenges that require a solution. As a prospective solution, a novel bubbled-structured silica nanoparticle (SiO2) decorated electrospun polyurethane (PU) nanofibrous membrane (SiO2@PU-NFs) was prepared through a synchronized electrospinning and electrospraying process. The SiO2@PU-NFs nanofibrous membrane exhibited a nanoscale hierarchical surface roughness, attributed to excellent superhydrophobicity. The SiO2@PU-NFs membrane had an optimized fiber diameter of 394 ± 105 nm and was fabricated with a 25 kV applied voltage, 18% PU concentration, 20 cm spinning distance, and 6% SiO2 nanoparticles. The resulting membrane exhibited a water contact angle of 155.23°. Moreover, the developed membrane attributed excellent mechanical properties (14.22 MPa tensile modulus, 134.5% elongation, and 57.12 kPa hydrostatic pressure). The composite nanofibrous membrane also offered good breathability characteristics (with an air permeability of 70.63 mm/s and a water vapor permeability of 4167 g/m2/day). In addition, the proposed composite nanofibrous membrane showed a significant water/oil separation efficiency of 99.98, 99.97, and 99.98% against the water/xylene, water/n-hexane, and water/toluene mixers. When exposed to severe mechanical stresses and chemicals, the composite nanofibrous membrane sustained its superhydrophobic quality (WCA greater than 155.23°) up to 50 abrasion, bending, and stretching cycles. Consequently, this composite structure could be a good alternative for various functional applications.

Poly(ether-block-amide), often abbreviated as PEBA, is a novel polymer which is a combination of polyamide and poly ether group. The present study aimed at the fabrication of PEBA fibers by both melt and solution electrospinning. The effects of process parameters of both electrospinning techniques on fiber diameters and morphology were researched. The obtained fiber substrates were characterized for their morphology, changes in chemical composition, thermal properties, crystallinity, and hydrophobicity. Optimum results (as minimum average fiber diameter of 1.92 ± 3.31 µm) in case of melt electrospinning were obtained at tip-to-collector distance (TTCD) of 60 mm, voltage 20.0 kV, collector speed 55 rpm, and melt temperature 270 °C, whereas in case of solution electrospinning TTCD of 200 mm distance and voltage of 20 kV yielded the lowest average fiber diameter of 0.37 ± 0.34 μm. Keywords: PEBA, Melt electrospinning, Solution electrospinning, Hydrophobic membranes

This novel study emphasizes to compare the properties of 100% cotton fabric printed with pigments and reactive dyes. For this purpose, a bleached cotton fabric was printed in light, medium, and dark shades with pigments and reactive dyes. In terms of fabric comfort properties (stiffness, pilling resistance, crease recovery angle) and tensile strength particularly in deep shades, pigment printing has better results than reactive printing. However, with respect to fabric performance properties (surface friction and tear strength) and rubbing fastness, pigment-printed fabric was found inferior to reactive printed fabric. It was observed that reactive printed fabric exhibits better one way moisture-transmitting capability and overall moisture management capability. Reactive printed fabric exhibits better air permeability as compared to pigment printed fabric. Both reactive and pigment printing have comparable color fastness.

The empirical assessment of small and medium enterprises (SMEs) from different perspectives is an ever-green research agenda because of their enormous contributions to developed and developing economies. However, the size and resource limitations hinder the progress of SMEs. In this regard, business networks and connections have great potential to enable SMEs’ access to scarce and valuable resources. Entrepreneurial SMEs’ healthy relationships and connections with stakeholders can yield dynamism and innovativeness. Despite that, the understanding of these networks and connections over the innovation capability of entrepreneurial SMEs is limited and needs further empirical investigation. Thus, this study is among the preliminary ones which assay the impact of network capability on innovation capability in the entrepreneurial SMEs context. This study also investigates the above relationship through social capital. The study ground its assumptions based on dynamic capability theory and collected feedback via a questionnaire from 199 entrepreneurial SMEs operating in Pakistan. After ensuring the reliability and validity of collected feedback, the study employed the partial least square structural equation modeling technique to analyze it. Results of the study expand the understanding by unveiling that network capability has a substantial positive impact on innovation capability. This implies that by fortifying network capability, entrepreneurial SMEs substantially enhance their capabilities to innovate. Results also affirm that by building strong network capability, entrepreneurial SMEs boost their social capital, which subsequently has a positive and significant impact on innovation capability. Finally, by operationalizing the proposed model in the entrepreneurial SMEs context, this study made novel contributions to the literature of network capability, social capital, innovation capability, and entrepreneurship.

Purpose: Institutional theory is a reasonable explanation for the motives of corporate social responsibility (CSR) behaviours (e.g. corporate green innovation). The existing literature defines institutional pressure as threats for legitimacy when firms operate within a country or a region; one area that has received little attention is the situation when a firm extends its operations across borders to pursue internationalisation. The study investigates the impact of outward foreign direct investment (OFDI) on green innovation at the firm level. Design/methodology/approach: The zero-inflated negative binomial regression models are estimated to analyse the data collected from 2065 manufacturing enterprises listed in China during 2007–2017 (n = 14 129). Green innovation is measured by the number of green patents, according to the World Intellectual Property Organization (WIPO) International Patent Classification (IPC) Green Inventory. Findings/results: The findings show that OFDI is positively associated with green innovation for emerging market enterprises (EMEs). Furthermore, compared with investment in emerging economies, OFDI in developed economies has a stronger positive relationship with corporate green innovation. The positive effect of OFDI on corporate green innovation will be higher for EMEs located in sub-national regions (i.e., province of the home country) with lower levels of institutional development. Practical implications: Emerging market enterprises should overcome organisational inertia and compete in a broader market to enhance their awareness and ability of green innovation. Originality/value: This article contributes to the existing literature by exploring institutional pressure faced by EMEs when they operate overseas (e.g. OFDI) can play a significant role in influencing green innovation, and enriches our understanding of EMEs’ inclination towards CSR (e.g. green innovation) in the context of internationalisation.

Nanomaterial and its application in textiles are emerging as vast and diverse field due to enhanced functionalized characteristics. This study emphasizes the fabrication of tungsten trioxide nanostructured rods and analyzes its electrostatic and ultraviolet resistance properties. These nanorods are synthesized by hydrothermal method. Through hydrothermal method rod like nanostructures were grown on polyester fabric as it withstands curing temperature easily. The growth mechanism of the film is investigated. Electrostatic analysis of treated polyester fabric was failed but the analysis of seeded solution revealed that it has tunable transmittance modulation under different voltages and repetitive cyclic between the clear and blue states. Ultraviolet resistance of 100% seeded polyester fabric was higher than untreated fabric with respect to increasing concentration of nanorods. Results show that although the seeded solution is perfect, the conductivity of tungsten trioxide cannot be achieved on textiles.

ImportanceFor patients with X-linked retinitis pigmentosa and clinicians alike, phenotypic variability can be challenging because it complicates counseling regarding patients' likely visual prognosis.ObjectiveTo evaluate the clinical findings from patients with X-linked retinitis pigmentosa with 13 distinct RPGR mutations and assess for phenotypic concordance or variability.DesignRetrospective medical record review of data collected from 1985 to 2011.SettingKellogg Eye Center, University of Michigan.PatientsA total of 42 patients with X-linked retinitis pigmentosa with mutations in RPGR. Age at first visit ranged from 4 to 53 years, with follow-up ranging from 1 to 11 visits (median follow-up time, 5.5 years; range, 1.4-32.7 years, for 23 patients with >1 visit).Main outcomes and measuresClinical data assessed for concordance included visual acuity (VA), Goldmann visual fields (GVFs), and full-field electroretinography (ERG). Electroretinography phenotype (cone-rod vs rod-cone dysfunction) was defined by the extent of photopic vs scotopic abnormality. Qualitative GVF phenotype was determined by the GVF pattern, where central or peripheral loss suggested cone or rod dysfunction, respectively. Goldmann visual fields were also quantified and compared among patients.ResultsEach mutation was detected in 2 or more related or unrelated patients. Five mutations in 11 patients displayed strong concordance of VA, while 4 mutations in 16 patients revealed moderate concordance of VA. A definitive cone-rod or rod-cone ERG pattern consistent among patients was found in 6 of 13 mutations (46.2%); the remaining mutations were characterized by patients demonstrating both phenotypes or who had limited data or nonrecordable ERG values. Concordant GVF phenotypes (7 rod-cone pattern vs 4 cone-rod pattern) were seen in 11 of 13 mutations (84.6%). All 6 mutations displaying a constant ERG pattern within the mutation group revealed a GVF phenotype consistent with the ERG findings.Conclusions and relevanceWhile VA and ERG phenotypes are concordant in only some patients carrying identical mutations, assessment of GVF phenotypes revealed stronger phenotypic conservation. Phenotypic concordance is important for establishing proper counseling of patients diagnosed as having X-linked retinitis pigmentosa, as well as for establishing accurate patient selection and efficacy monitoring in therapeutic trials.